Prakash Nadkarni, MD

Lecturer

Research & Publications
Biography
News

Coauthors

Selected Publications

Clinical Research Information SystemsNadkarni P. Clinical Research Information Systems. 2023, 111-126. DOI: 10.1007/978-3-031-27173-1_7.
Testing the Decision Support Tool for Responsible Pain Management for Headache and Facial Pain Diagnosis with Opioid-Risk-Stratified TreatmentSt. Marie B, Perkhounkova Y, Gedney-Lose A, Jimmerson A, Porter B, Herr K, Nadkarni P. Testing the Decision Support Tool for Responsible Pain Management for Headache and Facial Pain Diagnosis with Opioid-Risk-Stratified Treatment. SN Comprehensive Clinical Medicine 2023, 5: 91. PMID: 36872955, PMCID: PMC9969375, DOI: 10.1007/s42399-023-01423-1.
Sedation in Pediatric Imaging.Merchant S, Nadkarni P. Sedation in Pediatric Imaging. Radio Graphics 2023, 43: e220168. PMID: 36490207, DOI: 10.1148/rg.220168.
Augmentation of literature review of COVID-19 radiologyMerchant S, Nadkarni P, Shaikh M. Augmentation of literature review of COVID-19 radiology. World Journal Of Radiology 2022, 14: 342-351. PMID: 36186515, PMCID: PMC9521431, DOI: 10.4329/wjr.v14.i9.342.
Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advancesMerchant S, Shaikh M, Nadkarni P. Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advances. World Journal Of Radiology 2022, 14: 114-136. PMID: 35978978, PMCID: PMC9258306, DOI: 10.4329/wjr.v14.i6.114.
Overcoming the Patent Gap: A Guide to Patenting for Plastic SurgeonsKisyova R, Kannan R, Nadkarni P, Chandawarkar R. Overcoming the Patent Gap: A Guide to Patenting for Plastic Surgeons. Plastic & Reconstructive Surgery 2021, 148: 908-917. PMID: 34550948, DOI: 10.1097/prs.0000000000008369.
Safe clinical photography: best practice guidelines for risk management and mitigationChandawarkar R, Nadkarni P. Safe clinical photography: best practice guidelines for risk management and mitigation. Archives Of Plastic Surgery 2021, 48: 295-304. PMID: 34024075, PMCID: PMC8143941, DOI: 10.5999/aps.2021.00262.
Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An OverviewLee S, Mohr N, Street W, Nadkarni P. Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview. Western Journal Of Emergency Medicine 2019, 20: 219-227. PMID: 30881539, PMCID: PMC6404711, DOI: 10.5811/westjem.2019.1.41244.
Clinical Research Information SystemsNadkarni P. Clinical Research Information Systems. 2019, 171-190. DOI: 10.1007/978-3-319-98779-8_9.
PCORnet Antibiotics and Childhood Growth Study: Process for Cohort Creation and Cohort DescriptionBlock J, Bailey L, Gillman M, Lunsford D, Boone-Heinonen J, Cleveland L, Finkelstein J, Horgan C, Jay M, Reynolds J, Sturtevant J, Forrest C, Group P, Adams W, Appelhans B, Brickman A, Bian J, Daley M, Davidson A, Dempsey A, Dugas L, Eneli I, Fitzpatrick S, Heerman W, Horberg M, Hsia D, Ingber J, Isasi C, Janicke D, Kane D, Kharbanda E, Meltzer D, Messito M, Nadkarni P, O'Bryan K, Peay H, Puro J, Ranade D, Rao G, Tirado-Ramos A, Rayas M, Razzaghi H, Ricket I, Rosenman M, Siegel R, Solomonides T, Taveras E, Taylor B, Tolia V, Willis Z, VanWormer J, Wysocki T, Zhou X. PCORnet Antibiotics and Childhood Growth Study: Process for Cohort Creation and Cohort Description. Academic Pediatrics 2018, 18: 569-576. PMID: 29477481, PMCID: PMC9746871, DOI: 10.1016/j.acap.2018.02.008.
Quality of EHR data extractions for studies of preterm birth in a tertiary care center: guidelines for obtaining reliable dataKnake L, Ahuja M, McDonald E, Ryckman K, Weathers N, Burstain T, Dagle J, Murray J, Nadkarni P. Quality of EHR data extractions for studies of preterm birth in a tertiary care center: guidelines for obtaining reliable data. BMC Pediatrics 2016, 16: 59. PMID: 27130217, PMCID: PMC4851819, DOI: 10.1186/s12887-016-0592-z.
Chapter 5 Software for Patient Care Versus Software for Clinical Research Support: Similarities and DifferencesNadkarni P. Chapter 5 Software for Patient Care Versus Software for Clinical Research Support: Similarities and Differences. 2016, 115-128. DOI: 10.1016/b978-0-12-803130-8.00005-1.
Chapter 3 Core Informatics Technologies: Data StorageNadkarni P. Chapter 3 Core Informatics Technologies: Data Storage. 2016, 49-84. DOI: 10.1016/b978-0-12-803130-8.00003-8.
Chapter 7 Computer Security, Data Protection, and Privacy IssuesNadkarni P. Chapter 7 Computer Security, Data Protection, and Privacy Issues. 2016, 143-158. DOI: 10.1016/b978-0-12-803130-8.00007-5.
Chapter 9 Clinical Data Repositories: Warehouses, Registries, and the Use of StandardsNadkarni P. Chapter 9 Clinical Data Repositories: Warehouses, Registries, and the Use of Standards. 2016, 173-185. DOI: 10.1016/b978-0-12-803130-8.00009-9.
Chapter 8 Mobile Technologies and Clinical ComputingNadkarni P. Chapter 8 Mobile Technologies and Clinical Computing. 2016, 159-171. DOI: 10.1016/b978-0-12-803130-8.00008-7.
Chapter 1 An Introduction to Clinical Research ConceptsNadkarni P. Chapter 1 An Introduction to Clinical Research Concepts. 2016, 1-24. DOI: 10.1016/b978-0-12-803130-8.00001-4.
Chapter 6 Clinical Research Information Systems: Using Electronic Health Records for ResearchNadkarni P. Chapter 6 Clinical Research Information Systems: Using Electronic Health Records for Research. 2016, 129-142. DOI: 10.1016/b978-0-12-803130-8.00006-3.
Chapter 2 Supporting Clinical Research Computing: Technological and Nontechnological ConsiderationsNadkarni P. Chapter 2 Supporting Clinical Research Computing: Technological and Nontechnological Considerations. 2016, 25-47. DOI: 10.1016/b978-0-12-803130-8.00002-6.
Chapter 10 Core Technologies: Data Mining and “Big Data”Nadkarni P. Chapter 10 Core Technologies: Data Mining and “Big Data”. 2016, 187-204. DOI: 10.1016/b978-0-12-803130-8.00010-5.
Chapter 4 Core Technologies: Machine Learning and Natural Language ProcessingNadkarni P. Chapter 4 Core Technologies: Machine Learning and Natural Language Processing. 2016, 85-114. DOI: 10.1016/b978-0-12-803130-8.00004-x.
Chapter 11 Conclusions: The Learning Health System of the FutureNadkarni P. Chapter 11 Conclusions: The Learning Health System of the Future. 2016, 205-216. DOI: 10.1016/b978-0-12-803130-8.00011-7.
The Greater Plains Collaborative: a PCORnet Clinical Research Data NetworkWaitman L, Aaronson L, Nadkarni P, Connolly D, Campbell J. The Greater Plains Collaborative: a PCORnet Clinical Research Data Network. Journal Of The American Medical Informatics Association 2014, 21: 637-641. PMID: 24778202, PMCID: PMC4078294, DOI: 10.1136/amiajnl-2014-002756.
Chapter 2 Data Integration: An OverviewNadkarni P, Marenco L. Chapter 2 Data Integration: An Overview. 2014, 15-47. DOI: 10.1016/b978-0-12-401678-1.00002-6.
Natural language processing: algorithms and tools to extract computable information from EHRs and from the biomedical literatureOhno-Machado L, Nadkarni P, Johnson K. Natural language processing: algorithms and tools to extract computable information from EHRs and from the biomedical literature. Journal Of The American Medical Informatics Association 2013, 20: 805-805. PMID: 23935077, PMCID: PMC3756279, DOI: 10.1136/amiajnl-2013-002214.
Radiation exposure and breast cancer: lessons from Chernobyl.Ogrodnik A, Hudon T, Nadkarni P, Chandawarkar R. Radiation exposure and breast cancer: lessons from Chernobyl. Connecticut Medicine 2013, 77: 227-34. PMID: 23691737.
Requirements for guidelines systems: implementation challenges and lessons from existing software-engineering effortsShah H, Allard R, Enberg R, Krishnan G, Williams P, Nadkarni P. Requirements for guidelines systems: implementation challenges and lessons from existing software-engineering efforts. BMC Medical Informatics And Decision Making 2012, 12: 16. PMID: 22405400, PMCID: PMC3342141, DOI: 10.1186/1472-6947-12-16.
Clinical Research Information SystemsNadkarni P, Marenco L, Brandt C. Clinical Research Information Systems. 2012, 135-154. DOI: 10.1007/978-1-84882-448-5_8.
Web-browser encryption of personal health informationMorse R, Nadkarni P, Schoenfeld D, Finkelstein D. Web-browser encryption of personal health information. BMC Medical Informatics And Decision Making 2011, 11: 70. PMID: 22073940, PMCID: PMC3276430, DOI: 10.1186/1472-6947-11-70.
Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutionsChapman W, Nadkarni P, Hirschman L, D'Avolio L, Savova G, Uzuner O. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions. Journal Of The American Medical Informatics Association 2011, 18: 540-543. PMID: 21846785, PMCID: PMC3168329, DOI: 10.1136/amiajnl-2011-000465.
Pretraining and Posttraining Assessment of Residents' Performance in the Fourth Accreditation Council for Graduate Medical Education Competency: Patient Communication SkillsChandawarkar RY, Ruscher KA, Krajewski A, Garg M, Pfeiffer C, Singh R, Longo WE, Kozol RA, Lesnikoski B, Nadkarni P. Pretraining and Posttraining Assessment of Residents' Performance in the Fourth Accreditation Council for Graduate Medical Education Competency: Patient Communication Skills. JAMA Surgery 2011, 146: 916-921. PMID: 21844435, DOI: 10.1001/archsurg.2011.167.
Interoperability and Integration Considerations for a Process-Oriented Clinical Decision Support SystemShah H, Krishnan G, Williams P, Vogler A, Allard R, Nadkarni P. Interoperability and Integration Considerations for a Process-Oriented Clinical Decision Support System. 2011, 1: 437-442. DOI: 10.1109/services.2011.14.
Data standards for clinical research data collection forms: current status and challengesRichesson R, Nadkarni P. Data standards for clinical research data collection forms: current status and challenges. Journal Of The American Medical Informatics Association 2011, 18: 341-346. PMID: 21486890, PMCID: PMC3078665, DOI: 10.1136/amiajnl-2011-000107.
Metadata-driven Software Systems in Biomedicine, Designing Systems that can adapt to Changing KnowledgeNadkarni P. Metadata-driven Software Systems in Biomedicine, Designing Systems that can adapt to Changing Knowledge. 2011 DOI: 10.1007/978-0-85729-510-1.
Implementing description-logic rules for SNOMED-CT attributes through a table-driven approachNadkarni PM, Marenco LA. Implementing description-logic rules for SNOMED-CT attributes through a table-driven approach. Journal Of The American Medical Informatics Association 2010, 17: 182-184. PMID: 20190061, PMCID: PMC3000783, DOI: 10.1136/jamia.2009.001792.
Automated Database Mediation Using Ontological Metadata MappingsMarenco L, Wang R, Nadkarni P. Automated Database Mediation Using Ontological Metadata Mappings. Journal Of The American Medical Informatics Association 2009, 16: 723-737. PMID: 19567801, PMCID: PMC2744723, DOI: 10.1197/jamia.m3031.
Common Familial Colorectal Cancer Linked to Chromosome 7q31: A Genome-Wide AnalysisNeklason D, Kerber R, Nilson D, Anton-Culver H, Schwartz A, Griffin C, Lowery J, Schildkraut J, Evans J, Tomlinson G, Strong L, Miller A, Stopfer J, Finkelstein D, Nadkarni P, Kasten C, Mineau G, Burt R. Common Familial Colorectal Cancer Linked to Chromosome 7q31: A Genome-Wide Analysis. Cancer Research 2008, 68: 8993-8997. PMID: 18974144, PMCID: PMC2927856, DOI: 10.1158/0008-5472.can-08-1376.
SenseLab: new developments in disseminating neuroscience informationCrasto CJ, Marenco LN, Liu N, Morse TM, Cheung KH, Lai PC, Bahl G, Masiar P, Lam HY, Lim E, Chen H, Nadkarni P, Migliore M, Miller PL, Shepherd GM. SenseLab: new developments in disseminating neuroscience information. Briefings In Bioinformatics 2007, 8: 150-162. PMID: 17510162, PMCID: PMC2756159, DOI: 10.1093/bib/bbm018.
Service-oriented Architecture in Medical Software: Promises and PerilsNadkarni P, Miller R. Service-oriented Architecture in Medical Software: Promises and Perils. Journal Of The American Medical Informatics Association 2007, 14: 244-246. PMID: 17213485, PMCID: PMC2213462, DOI: 10.1197/jamia.m2349.
Interoperability Across Neuroscience DatabasesMarenco L, Nadkarni P, Martone M, Gupta A. Interoperability Across Neuroscience Databases. 2007, 401: 23-36. PMID: 18368358, DOI: 10.1007/978-1-59745-520-6_2.
Guidelines for the effective use of entity–attribute–value modeling for biomedical databasesDinu V, Nadkarni P. Guidelines for the effective use of entity–attribute–value modeling for biomedical databases. International Journal Of Medical Informatics 2006, 76: 769-779. PMID: 17098467, PMCID: PMC2110957, DOI: 10.1016/j.ijmedinf.2006.09.023.
Pivoting approaches for bulk extraction of Entity–Attribute–Value dataDinu V, Nadkarni P, Brandt C. Pivoting approaches for bulk extraction of Entity–Attribute–Value data. Computer Methods And Programs In Biomedicine 2006, 82: 38-43. PMID: 16556470, DOI: 10.1016/j.cmpb.2006.02.001.
Informatics tools to improve clinical research study implementationBrandt CA, Argraves S, Money R, Ananth G, Trocky NM, Nadkarni PM. Informatics tools to improve clinical research study implementation. Contemporary Clinical Trials 2006, 27: 112-122. PMID: 16388990, DOI: 10.1016/j.cct.2005.11.013.
Translating pharmacogenomics discoveries into clinical practice: the role of curated databasesNadkarni P, Wiepert M. Translating pharmacogenomics discoveries into clinical practice: the role of curated databases. Pharmacogenomics 2005, 6: 451-454. PMID: 16013993, PMCID: PMC2982678, DOI: 10.2217/14622416.6.5.451.
Animals as Sentinels of Human Environmental Health Hazards: An Evidence-Based AnalysisRabinowitz P, Gordon Z, Holmes R, Taylor B, Wilcox M, Chudnov D, Nadkarni P, Dein F. Animals as Sentinels of Human Environmental Health Hazards: An Evidence-Based Analysis. EcoHealth 2005, 2: 26-37. DOI: 10.1007/s10393-004-0151-1.
Metadata-driven Delphi rating on the InternetDeshpande AM, Shiffman RN, Nadkarni PM. Metadata-driven Delphi rating on the Internet. Computer Methods And Programs In Biomedicine 2005, 77: 49-56. PMID: 15639709, DOI: 10.1016/j.cmpb.2004.05.006.
Automating identification of adverse events related to abnormal lab results using standard vocabularies.Brandt CA, Lu CC, Nadkarni PM. Automating identification of adverse events related to abnormal lab results using standard vocabularies. AMIA Annual Symposium Proceedings 2005, 2005: 903. PMID: 16779190, PMCID: PMC1560626.
Metadata driven generation of reports for clinical studies.Sun K, Nadkarni PM, Brandt CA. Metadata driven generation of reports for clinical studies. AMIA ... Annual Symposium Proceedings / AMIA Symposium. AMIA Symposium 2005, 1124. PMID: 16779411, PMCID: PMC1560472.
Informatics tools to improve clinical research.Argraves S, Brandt CA, Money R, Nadkarni P. Informatics tools to improve clinical research. AMIA Annual Symposium Proceedings 2005, 2005: 883. PMID: 16779170, PMCID: PMC1560747.
VitaPad: visualization tools for the analysis of pathway dataHolford M, Li N, Nadkarni P, Zhao H. VitaPad: visualization tools for the analysis of pathway data. Bioinformatics 2004, 21: 1596-1602. PMID: 15564306, DOI: 10.1093/bioinformatics/bti153.
QIS: A Framework for Biomedical Database FederationMarenco L, Wang TY, Shepherd G, Miller PL, Nadkarni P. QIS: A Framework for Biomedical Database Federation. Journal Of The American Medical Informatics Association 2004, 11: 523-534. PMID: 15298995, PMCID: PMC524633, DOI: 10.1197/jamia.m1506.
Managing Complex Change in Clinical Study MetadataBrandt CA, Gadagkar R, Rodriguez C, Nadkarni PM. Managing Complex Change in Clinical Study Metadata. Journal Of The American Medical Informatics Association 2004, 11: 380-391. PMID: 15187070, PMCID: PMC516245, DOI: 10.1197/jamia.m1511.
Evolving standards for clinical content in biomedicine: overview and lessonsNadkarni P. Evolving standards for clinical content in biomedicine: overview and lessons. International Journal Of Services And Standards 2004, 1: 112. DOI: 10.1504/ijss.2004.005692.
Integration of Web-based and PC-based Clinical Research DatabasesBrandt CA, Sun K, Charpentier P, Nadkarni PM. Integration of Web-based and PC-based Clinical Research Databases. Methods Of Information In Medicine 2004, 43: 287-295. PMID: 15227559, DOI: 10.1055/s-0038-1633870.
Approaches and Informatics Tools to Assist in the Integration of Similar Clinical Research QuestionnairesBrandt CA, Cohen DB, Shifman MA, Miller PL, Nadkarni PM, Frawley SJ. Approaches and Informatics Tools to Assist in the Integration of Similar Clinical Research Questionnaires. Methods Of Information In Medicine 2004, 43: 156-162. PMID: 15136865, DOI: 10.1055/s-0038-1633854.
Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent AdvancesMarenco L, Tosches N, Crasto C, Shepherd G, Miller PL, Nadkarni PM. Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances. Journal Of The American Medical Informatics Association 2003, 10: 444-453. PMID: 12807806, PMCID: PMC212781, DOI: 10.1197/jamia.m1303.
Text mining neuroscience journal articles to populate neuroscience databasesCrasto CJ, Marenco LN, Migliore M, Mao B, Nadkarni PM, Miller P, Shepherd GM. Text mining neuroscience journal articles to populate neuroscience databases. Neuroinformatics 2003, 1: 215-237. PMID: 15046245, DOI: 10.1385/ni:1:3:215.
Temporal query of attribute-value patient data: utilizing the constraints of clinical studiesDeshpande AM, Brandt C, Nadkarni PM. Temporal query of attribute-value patient data: utilizing the constraints of clinical studies. International Journal Of Medical Informatics 2003, 70: 59-77. PMID: 12706183, PMCID: PMC2987270, DOI: 10.1016/s1386-5056(02)00183-1.
The Cancer Genetics Network: Recruitment Results and Pilot StudiesAnton-Culver H, Ziogas A, Bowen D, Finkelstein D, Griffin C, Hanson J, Isaacs C, Kasten-Sportes C, Mineau G, Nadkarni P, Rimer B, Schildkraut J, Strong L, Weber B, Winn D, Hiatt R, Nayfield S. The Cancer Genetics Network: Recruitment Results and Pilot Studies. Public Health Genomics 2003, 6: 171-177. PMID: 15237201, DOI: 10.1159/000078165.
Creating knowledgebases to text-mine PUBMED articles using clustering techniques.Crasto CJ, Morse TM, Migliore M, Nadkarni P, Hines M, Brash DE, Miller PL, Shepherd GM. Creating knowledgebases to text-mine PUBMED articles using clustering techniques. AMIA Annual Symposium Proceedings 2003, 2003: 821. PMID: 14728326, PMCID: PMC1479923.
TrialDB: A web-based Clinical Study Data Management System.Brandt CA, Deshpande AM, Lu C, Ananth G, Sun K, Gadagkar R, Morse R, Rodriguez C, Miller PL, Nadkarni PM. TrialDB: A web-based Clinical Study Data Management System. AMIA Annual Symposium Proceedings 2003, 2003: 794. PMID: 14728299, PMCID: PMC1480035.
Integrating Query of Relational and Textual Data in Clinical Databases: A Case StudyFisk JM, Mutalik P, Levin FW, Erdos J, Taylor C, Nadkarni P. Integrating Query of Relational and Textual Data in Clinical Databases: A Case Study. Journal Of The American Medical Informatics Association 2003, 10: 21-38. PMID: 12509355, PMCID: PMC150357, DOI: 10.1197/jamia.m1133.
Metadata-driven creation of data marts from an EAV-modeled clinical research databaseBrandt CA, Morse R, Matthews K, Sun K, Deshpande AM, Gadagkar R, Cohen DB, Miller PL, Nadkarni PM. Metadata-driven creation of data marts from an EAV-modeled clinical research database. International Journal Of Medical Informatics 2002, 65: 225-241. PMID: 12414020, DOI: 10.1016/s1386-5056(02)00047-3.
Metadata-driven Ad Hoc Query of Patient DataDeshpande AM, Brandt C, Nadkarni PM. Metadata-driven Ad Hoc Query of Patient Data. Journal Of The American Medical Informatics Association 2002, 9: 369-382. PMID: 12087118, PMCID: PMC346624, DOI: 10.1197/jamia.m1034.
Senselab: Modeling Heterogenous Data on the Nervous SystemNadkarni P, Mirsky J, Skoufos E, Healy M, Hines M, Miller P, Shepherd G. Senselab: Modeling Heterogenous Data on the Nervous System. 2002, 105-118. DOI: 10.1007/0-306-46903-0_10.
Use of General-purpose Negation Detection to Augment Concept Indexing of Medical DocumentsMutalik P, Deshpande A, Nadkarni P. Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents. Journal Of The American Medical Informatics Association 2001, 8: 598-609. PMID: 11687566, PMCID: PMC130070, DOI: 10.1136/jamia.2001.0080598.
Dr. Nadkarni repliesNadkarni P. Dr. Nadkarni replies. Journal Of The American Medical Informatics Association 2001, 8: 514-515. DOI: 10.1136/jamia.2001.0080514.
Biomedical databases: an e-healthcare perspectiveNadkarni P. Biomedical databases: an e-healthcare perspective. International Journal Of Healthcare Technology And Management 2001, 3: 353. DOI: 10.1504/ijhtm.2001.001116.
Easing the transition between attribute-value databases and conventional databases for scientific data.Nadkarni P, Marenco L. Easing the transition between attribute-value databases and conventional databases for scientific data. AMIA Annual Symposium Proceedings 2001, 483-7. PMID: 11825235, PMCID: PMC2243470.
UMLS Concept Indexing for Production DatabasesNadkarni P, Chen R, Brandt C. UMLS Concept Indexing for Production Databases. Journal Of The American Medical Informatics Association 2001, 8: 80-91. PMID: 11141514, PMCID: PMC134593, DOI: 10.1136/jamia.2001.0080080.
Integration of Multidisciplinary Sensory DataMiller P, Nadkarni P, Singer M, Marenco L, Hines M, Shepherd G. Integration of Multidisciplinary Sensory Data. Journal Of The American Medical Informatics Association 2001, 8: 34-48. PMID: 11141511, PMCID: PMC134590, DOI: 10.1136/jamia.2001.0080034.
Web-based UMLS concept retrieval by automatic text scanning: a comparison of two methodsBrandt C, Nadkarni P. Web-based UMLS concept retrieval by automatic text scanning: a comparison of two methods. Computer Methods And Programs In Biomedicine 2001, 64: 37-43. PMID: 11084231, DOI: 10.1016/s0169-2607(00)00092-4.
Generation of pedigree diagrams for web display using scalable vector graphics from a clinical trials database.Fernando SK, Brandt C, Nadkarni P. Generation of pedigree diagrams for web display using scalable vector graphics from a clinical trials database. Proceedings / AMIA ... Annual Symposium. AMIA Symposium 2001, 174-8. PMID: 11825175, PMCID: PMC2243683.
Reengineering a Database for Clinical Trials Management Lessons for System ArchitectsBrandt C, Nadkarni P, Marenco L, Karras B, Lu C, Schacter L, Fisk J, Miller P. Reengineering a Database for Clinical Trials Management Lessons for System Architects. Contemporary Clinical Trials 2000, 21: 440-461. PMID: 11018562, DOI: 10.1016/s0197-2456(00)00070-2.
Exploring Performance Issues for a Clinical Database Organized Using an Entity-Attribute-Value RepresentationChen R, Nadkarni P, Marenco L, Levin F, Erdos J, Miller P. Exploring Performance Issues for a Clinical Database Organized Using an Entity-Attribute-Value Representation. Journal Of The American Medical Informatics Association 2000, 7: 475-487. PMID: 10984467, PMCID: PMC79043, DOI: 10.1136/jamia.2000.0070475.
WebEAVNadkarni P, Brandt C, Marenco L. WebEAV. Journal Of The American Medical Informatics Association 2000, 7: 343-356. PMID: 10887163, PMCID: PMC61439, DOI: 10.1136/jamia.2000.0070343.
Using a Computer Database to Monitor Compliance With Pharmacotherapeutic Guidelines for SchizophreniaChen RS, Nadkarni PM, Levin FL, Miller PL, Erdos J, Rosenheck RA. Using a Computer Database to Monitor Compliance With Pharmacotherapeutic Guidelines for Schizophrenia. Psychiatric Services 2000, 51: 791-794. PMID: 10828112, DOI: 10.1176/appi.ps.51.6.791.
Integration of a hematopoietic progenitor cell program using the ACT/DB database systemPerrotta P, Nadkarni P. Integration of a hematopoietic progenitor cell program using the ACT/DB database system. Computer Methods And Programs In Biomedicine 2000, 61: 195-207. PMID: 10710182, DOI: 10.1016/s0169-2607(99)00038-3.
Olfactory Receptor Database: a sensory chemoreceptor resourceSkoufos E, Marenco L, Nadkarni P, Miller P, Shepherd G. Olfactory Receptor Database: a sensory chemoreceptor resource. Nucleic Acids Research 2000, 28: 341-343. PMID: 10592268, PMCID: PMC102443, DOI: 10.1093/nar/28.1.341.
The Yale Center for Medical Informatics: clinical, neuro- and genomic informatics.Miller PL, Brandt C, Cheung K, Mattie M, Nadkarni P, Shiffman RN. The Yale Center for Medical Informatics: clinical, neuro- and genomic informatics. M.D. Computing 2000, 17: 29-32. PMID: 11014075.
Exploring the Degree of Concordance of Coded and Textual Data in Answering Clinical Queries from a Clinical Data RepositoryStein H, Nadkarni P, Erdos J, Miller P. Exploring the Degree of Concordance of Coded and Textual Data in Answering Clinical Queries from a Clinical Data Repository. Journal Of The American Medical Informatics Association 2000, 7: 42-54. PMID: 10641962, PMCID: PMC61454, DOI: 10.1136/jamia.2000.0070042.
Organization of Heterogeneous Scientific Data Using the EAV/CR RepresentationNadkarni P, Marenco L, Chen R, Skoufos E, Shepherd G, Miller P. Organization of Heterogeneous Scientific Data Using the EAV/CR Representation. Journal Of The American Medical Informatics Association 1999, 6: 478-493. PMID: 10579606, PMCID: PMC61391, DOI: 10.1136/jamia.1999.0060478.
Olfactory Receptor Database: a database of the largest eukaryotic gene familySkoufos E, Healy M, Singer M, Nadkarni P, Miller P, Shepherd G. Olfactory Receptor Database: a database of the largest eukaryotic gene family. Nucleic Acids Research 1999, 27: 343-345. PMID: 9847223, PMCID: PMC148178, DOI: 10.1093/nar/27.1.343.
Neuronal database integration: the Senselab EAV data model.Marenco L, Nadkarni P, Skoufos E, Shepherd G, Miller P. Neuronal database integration: the Senselab EAV data model. AMIA Annual Symposium Proceedings 1999, 102-6. PMID: 10566329, PMCID: PMC2232788.
CHRONOMERGE: An Application for the Merging and Display of Multiple Time-Stamped Data StreamsNadkarni P. CHRONOMERGE: An Application for the Merging and Display of Multiple Time-Stamped Data Streams. Journal Of Biomedical Informatics 1998, 31: 451-464. PMID: 9843629, DOI: 10.1006/cbmr.1998.1492.
The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience dataShepherd G, Mirsky J, Healy M, Singer M, Skoufos E, Hines M, Nadkarni P, Miller P. The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data. Trends In Neurosciences 1998, 21: 460-468. PMID: 9829685, DOI: 10.1016/s0166-2236(98)01300-9.
Data Extraction and Ad Hoc Query of an Entity—Attribute—Value DatabaseNadkarni P, Brandt C. Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database. Journal Of The American Medical Informatics Association 1998, 5: 511-527. PMID: 9824799, PMCID: PMC61332, DOI: 10.1136/jamia.1998.0050511.
Database tools for integrating and searching membrane property data correlated with neuronal morphologyMirsky J, Nadkarni P, Healy M, Miller P, Shepherd G. Database tools for integrating and searching membrane property data correlated with neuronal morphology. Journal Of Neuroscience Methods 1998, 82: 105-121. PMID: 10223520, DOI: 10.1016/s0165-0270(98)00049-1.
Managing Attribute–Value Clinical Trials Data Using the ACT/DB Client–Server Database SystemNadkarni P, Brandt C, Frawley S, Sayward F, Einbinder R, Zelterman D, Schacter L, Miller P. Managing Attribute–Value Clinical Trials Data Using the ACT/DB Client–Server Database System. Journal Of The American Medical Informatics Association 1998, 5: 139-151. PMID: 9524347, PMCID: PMC61285, DOI: 10.1136/jamia.1998.0050139.
A metadata approach to query interoperation between molecular biology databases.Cheung KH, Nadkarni PM, Shin DG. A metadata approach to query interoperation between molecular biology databases. Bioinformatics 1998, 14: 486-497. PMID: 9694987, DOI: 10.1093/bioinformatics/14.6.486.
Automatic query mapping among genomic databases: a pilot exploration.Cheung KH, Nadkarni P, Miller P, Shin DG. Automatic query mapping among genomic databases: a pilot exploration. AMIA Annual Symposium Proceedings 1998, 942-6. PMID: 9929357, PMCID: PMC2232293.
Concept Locator: A Client-Server Application for Retrieval of UMLS Metathesaurus Concepts through Complex Boolean QueryNadkarni P. Concept Locator: A Client-Server Application for Retrieval of UMLS Metathesaurus Concepts through Complex Boolean Query. Journal Of Biomedical Informatics 1997, 30: 323-336. PMID: 9339325, DOI: 10.1006/cbmr.1997.1433.
QAV: querying entity-attribute-value metadata in a biomedical databaseNadkarni P. QAV: querying entity-attribute-value metadata in a biomedical database. Computer Methods And Programs In Biomedicine 1997, 53: 93-103. PMID: 9186046, DOI: 10.1016/s0169-2607(97)01815-4.
Olfactory Receptor Database (ORDB): A Resource for Sharing and Analyzing Published and Unpublished DataHealy M, Smith J, Singer M, Nadkarni P, Skoufos E, Miller P, Shepherd G. Olfactory Receptor Database (ORDB): A Resource for Sharing and Analyzing Published and Unpublished Data. Chemical Senses 1997, 22: 321-326. PMID: 9218144, DOI: 10.1093/chemse/22.3.321.
Mapdiff: determining differences between two genomic mapsNadkarni P. Mapdiff: determining differences between two genomic maps. Bioinformatics 1997, 13: 217-225. PMID: 9183523, DOI: 10.1093/bioinformatics/13.3.217.
ModelDB: An Environment for Running and Storing Computational Models and Their Results Applied to NeurosciencePeterson B, Healy M, Nadkarni P, Miller P, Shepherd G. ModelDB: An Environment for Running and Storing Computational Models and Their Results Applied to Neuroscience. Journal Of The American Medical Informatics Association 1996, 3: 389-398. PMID: 8930855, PMCID: PMC116323, DOI: 10.1136/jamia.1996.97084512.
Medical Informatics Training at Yale University School of MedicineMiller P, Shiffman R, Silverstein S, Frawley S, Nadkarni P. Medical Informatics Training at Yale University School of Medicine. Yearbook Of Medical Informatics 1996, 05: 122-125. PMID: 27699318, DOI: 10.1055/s-0038-1638054.
PhenoDB: An Integrated Client/Server Database for Linkage and Population GeneticsCheung K, Nadkarni P, Silverstein S, Kidd J, Pakstis A, Miller P, Kidd K. PhenoDB: An Integrated Client/Server Database for Linkage and Population Genetics. Journal Of Biomedical Informatics 1996, 29: 327-337. PMID: 8812078, DOI: 10.1006/cbmr.1996.0024.
CONTIG EXPLORER: Interactive Marker-Content Map AssemblyNadkarni P, Banks A, Montgomery K, LeBlanc-Stracewski J, Miller P, Krauter K. CONTIG EXPLORER: Interactive Marker-Content Map Assembly. Genomics 1996, 31: 301-310. PMID: 8838311, DOI: 10.1006/geno.1996.0052.
DNA Workbench: A Database Package to Manage Regional Physical MappingNadkarni P, Cheung K, Castiglione C, Miller P, Kidd K. DNA Workbench: A Database Package to Manage Regional Physical Mapping. Journal Of Computational Biology 1996, 3: 319-329. PMID: 8811490, DOI: 10.1089/cmb.1996.3.319.
Management of Evolving Map Data: Data Structures and Algorithms Based on the Framework MapNadkarni P. Management of Evolving Map Data: Data Structures and Algorithms Based on the Framework Map. Genomics 1995, 30: 565-573. PMID: 8825644, DOI: 10.1006/geno.1995.1278.
SQLGEN: A framework for rapid client-server database application developmentNadkarni P, Cheung K. SQLGEN: A framework for rapid client-server database application development. Journal Of Biomedical Informatics 1995, 28: 479-499. DOI: 10.1006/cbmr.1995.1030.
SQLGEN: a framework for rapid client-server database application development.Nadkarni P, Cheung K. SQLGEN: a framework for rapid client-server database application development. Journal Of Biomedical Informatics 1995, 28: 479-99. PMID: 8770535, DOI: 10.1016/s0010-4809(85)71030-0.
Internet-based Support for Bioscience Research: A Collaborative Genome center for Human Chromosome 12Miller P, Nadkarni P, Kidd K, Cheung K, Ward D, Banks A, Bray-Ward P, Cupelli L, Herdman V, Marondel I, Montcomery K, Renault B, Yoon S, Krauter K, Kucherlapati R. Internet-based Support for Bioscience Research: A Collaborative Genome center for Human Chromosome 12. Journal Of The American Medical Informatics Association 1995, 2: 351-364. PMID: 8581551, PMCID: PMC116278, DOI: 10.1136/jamia.1995.96157828.
CEPH viewer: a client-server database to browse and manipulate CEPH physical mapping and linkage dataNadkarni P, Bray-Ward P. CEPH viewer: a client-server database to browse and manipulate CEPH physical mapping and linkage data. Genomics 1995, 25: 318-320. PMID: 7774941, DOI: 10.1016/0888-7543(95)80147-e.
Network-based informatics support of research collaborations in the Human Genome Project and the Human Brain Project.Miller P, Nadkarni P, Kucherlapati R, Krauter K, Kidd K, Ward D, Shepherd G, Berkowicz D. Network-based informatics support of research collaborations in the Human Genome Project and the Human Brain Project. Medinfo. 1995, 8 Pt 2: 1541-4. PMID: 8591495.
A modification of the ALIGN program to assist visual interpretation of mutated sequences.Nadkarni P, Reeders S, Zhou J. A modification of the ALIGN program to assist visual interpretation of mutated sequences. Bioinformatics 1994, 10: 361-2. PMID: 7922696, DOI: 10.1093/bioinformatics/10.3.361.
GDBDICT: A Program to Extract GDB Schema Information into a Relational DatabaseNadkarni P. GDBDICT: A Program to Extract GDB Schema Information into a Relational Database. Genomics 1994, 19: 185-186. PMID: 8188228, DOI: 10.1006/geno.1994.1040.
CECIL: a database for storing and retrieving clinical and molecular information on patients with Alport syndrome.Nadkarni P, Reeders S, Zhou J. CECIL: a database for storing and retrieving clinical and molecular information on patients with Alport syndrome. AMIA Annual Symposium Proceedings 1993, 649-53. PMID: 8130555, PMCID: PMC2850656.
Flow cytometric analysis of deoxyribonucleic acid in human granulosa cells as a function of chronological age and ovulation induction regimen.Seifer DB, Honig J, Penzias AS, Lavy G, Nadkarni PM, Jones EE, DeCherney AH, Flynn SD. Flow cytometric analysis of deoxyribonucleic acid in human granulosa cells as a function of chronological age and ovulation induction regimen. The Journal Of Clinical Endocrinology & Metabolism 1992, 75: 636-40. PMID: 1639962, DOI: 10.1210/jcem.75.2.1639962.
Parallel Computation for Medicine and Biology: Applications of Linda At Yale UniversitySittig D, Shifman M, Nadkarni P, Miller P. Parallel Computation for Medicine and Biology: Applications of Linda At Yale University. The International Journal Of High Performance Computing Applications 1992, 6: 147-163. DOI: 10.1177/109434209200600203.
Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three programs for genetic linkage analysis.Miller P, Nadkarni P, Bercovitz P. Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three programs for genetic linkage analysis. Bioinformatics 1992, 8: 141-7. PMID: 1591609, DOI: 10.1093/bioinformatics/8.2.141.
Comparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison.Miller P, Nadkarni P, Pearson W. Comparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison. Bioinformatics 1992, 8: 167-75. PMID: 1591612, DOI: 10.1093/bioinformatics/8.2.167.
PFGE MAPPER and PFGE READER: two tools to aid in the analysis and data input of pulse field gel electrophoresis maps.Shifman M, Nadkarni P, Miller P. PFGE MAPPER and PFGE READER: two tools to aid in the analysis and data input of pulse field gel electrophoresis maps. AMIA Annual Symposium Proceedings 1992, 361-5. PMID: 1482898, PMCID: PMC2248078.
CHROMINFO: a database for viewing and editing top-level chromosome data.Nadkarni P, Reeders S, Shifman M, Miller P. CHROMINFO: a database for viewing and editing top-level chromosome data. AMIA Annual Symposium Proceedings 1992, 366-70. PMID: 1482899, PMCID: PMC2248058.
Fast Computation of Genetic Likelihoods on Human Pedigree DataGoradia T, Lange K, Miller P, Nadkarni P. Fast Computation of Genetic Likelihoods on Human Pedigree Data. Human Heredity 1992, 42: 42-62. PMID: 1555846, DOI: 10.1159/000154045.
Parallelizing genetic linkage analysis: A case study for applying parallel computation in molecular biologyMiller P, Nadkarni P, Gelernter J, Carriero N, Pakstis A, Kidd K. Parallelizing genetic linkage analysis: A case study for applying parallel computation in molecular biology. Journal Of Biomedical Informatics 1991, 24: 234-248. PMID: 1868693, DOI: 10.1016/0010-4809(91)90046-y.
Parallel computation and FASTA: confronting the problem of parallel database search for a fast sequence comparison algorithmMiller P, Nadkarni P, Carriero N. Parallel computation and FASTA: confronting the problem of parallel database search for a fast sequence comparison algorithm. Bioinformatics 1991, 7: 71-78. PMID: 2004277, DOI: 10.1093/bioinformatics/7.1.71.
Parallel computation for biological sequence comparison: comparing a portable model to the native model for the Intel Hypercube.Nadkarni P, Miller P. Parallel computation for biological sequence comparison: comparing a portable model to the native model for the Intel Hypercube. AMIA Annual Symposium Proceedings 1991, 404-8. PMID: 1807632, PMCID: PMC2247563.

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