Samah Fodeh, PhD

• Amy Justice
• Andrew Ulrich
• Anthony J. Lisi
• Arjun Venkatesh
• Basmah Safdar
• Charles Matouk
• Christopher Rentsch
• Cynthia Brandt
• Elizabeth Ercolano
• Gary Friedlaender
• Hamada Hamid Altalib
• Heather Allore
• Janet Tate
• John Sather
• Jonathan Bates
• Joseph Lucien Goulet
• Karen Wang
• Kelsey Corcoran
• Kevin Sheth
• Lisa Puglisi
• Marcella Nunez-Smith
• Michael Krauthammer
• Nancy Schmieder Redeker
• Perry Miller
• Robert Kerns
• Rohit Sangal
• Terrence E. Murphy
• Thomas M. Gill
• Vivek Parwani
• William Becker

Medical Informatics; Natural Language Processing; Social Behavior Disorders; Data Mining; Machine Learning

COVID-19

• Defining Facets of Social Distancing during the COVID-19 Pandemic: Twitter Analysisdoi: https://doi.org/10.1101/2020.04.26.20080937
• Influence of News Media and Public Health Agencies during Pre-Pandemic COVID-19: Twitter Analysishttps://doi.org/10.2196/preprints.19460
• Leveraging Twitter to better identify suicide riskSamah Fodeh, Joseph Goulet, Cynthia Brandt, Hamada Al-Talib.In Proceedings of Machine Learning Research (PMLR) form the First International Workshop on Medical Informatics and Healthcare (MIH) held with the International conference on Knowledge Discovery and Data Mining, V:69, pp:1-7, 2017.
• Automatic Classification of Critical Findings in Radiology Reports21. Aditya Tiwari, Samah Fodeh, Steven Baccie, Max Rosen.In Proceedings of Machine Learning Research (PMLR) form the First International Workshop on Medical Informatics and Healthcare (MIH) held with the International conference on Knowledge Discovery and Data Mining, V:69, pp 35-39, 2017.
• Enhancing Clustering by Exploiting Complementary Data Modalities in the Medical Domain.Fodeh SJ, Haddad A, Brandt C, Schultz M, Krauthammer M. Enhancing Clustering by Exploiting Complementary Data Modalities in the Medical Domain. IFIP Advances In Information And Communication Technology 2012, 381:357-367.
• Characterizing Clinical Text and Sublanguage: A Case Study of the VA Clinical Notes.Zeng, Q. T., D. Redd, G. Divita, S. Jarad, and C. Brandt. "Characterizing Clinical Text and Sublanguage: A Case Study of the VA Clinical Notes." J Health Med Informat S 3 (2011): 2.
• Mining Big Data in biomedicine and health care.Fodeh S, Zeng Q. Mining Big Data in biomedicine and health care. Journal Of Biomedical Informatics 2016, 63:400-403.
• Functional impairments as symptoms in the symptom cluster analysis of patients newly diagnosed with advanced cancer.Fodeh SJ, Lazenby M, Bai M, Ercolano E, Murphy T, McCorkle R. Functional impairments as symptoms in the symptom cluster analysis of patients newly diagnosed with advanced cancer. Journal Of Pain And Symptom Management 2013, 46:500-10.
• Baseline Cluster Membership Demonstrates Positive Associations with First Occurrence of Multiple Gerontological Outcomes over 10 YearsS.J. Fodeh, M. Trentalange, H.G. Allore, T.M. Gill, C.A. Brandt, and T.E. Murphy. Baseline Cluster Membership Demonstrates Positive Associations with First Occurrence of Multiple Gerontological Outcomes over 10 Years. Experimental Aging Research 2014.
• On ontology-driven document clustering using core semantic features.Fodeh, Samah, Bill Punch, and Pang-Ning Tan. "On ontology-driven document clustering using core semantic features." Knowledge and information systems 28.2 (2011): 395-421.
• Complementary ensemble clustering of biomedical data.Fodeh SJ, Brandt C, Luong TB, Haddad A, Schultz M, Murphy T, Krauthammer M. Complementary ensemble clustering of biomedical data. Journal Of Biomedical Informatics 2013, 46:436-43.
• Clinical Data MiningQing Zeng, Samah Fodeh, Computers in biology and medicine;62(C):293, 2015
• Classification of radiology reports for falls in an HIV study cohort.Bates J, Fodeh SJ, Brandt CA, Womack JA. Classification of radiology reports for falls in an HIV study cohort. Journal Of The American Medical Informatics Association : JAMIA 2016, 23:e113-7.
• Baseline cluster membership demonstrates positive associations with first occurrence of multiple gerontologic outcomes over 10 years.Fodeh SJ, Trentalange M, Allore HG, Gill TM, Brandt CA, Murphy TE. Baseline cluster membership demonstrates positive associations with first occurrence of multiple gerontologic outcomes over 10 years. Experimental Aging Research 2015, 41:177-92.
• Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.Chen J, Jagannatha AN, Fodeh SJ, Yu H. Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach. JMIR Medical Informatics 2017, 5:e42.
• Classifying clinical notes with pain assessment using machine learning.Fodeh SJ, Finch D, Bouayad L, Luther SL, Ling H, Kerns RD, Brandt C. Classifying clinical notes with pain assessment using machine learning. Medical & Biological Engineering & Computing 2018, 56:1285-1292.
• Automatic extraction of informal topics from online suicidal ideation.Grant RN, Kucher D, León AM, Gemmell JF, Raicu DS, Fodeh SJ. Automatic extraction of informal topics from online suicidal ideation. BMC Bioinformatics 2018, 19:211.
• Mining Big Biomedical Data,Samah Fodeh, International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 6(1), 2016.
• Clinical data mining.Zeng QT, Fodeh S. Clinical data mining. Computers In Biology And Medicine 2015, 62:293.
• Electronic approaches to making sense of the text in the adverse event reporting system.Benin AL, Fodeh SJ, Lee K, Koss M, Miller P, Brandt C. Electronic approaches to making sense of the text in the adverse event reporting system. Journal Of Healthcare Risk Management : The Journal Of The American Society For Healthcare Risk Management 2016, 36:10-20.
• Estimating healthcare mobility in the Veterans Affairs Healthcare System.Wang KH, Goulet JL, Carroll CM, Skanderson M, Fodeh S, Erdos J, Womack JA, Abel EA, Bathulapalli H, Justice AC, Nunez-Smith M, Brandt CA. Estimating healthcare mobility in the Veterans Affairs Healthcare System. BMC Health Services Research 2016, 16:609.
• Ranking medical jargon in electronic health record notes by adapted distant supervisionJinying Chen, Abhyuday N. Jagannatha, Samah J. Jarad, Hong Yu. Journal of Medical Internet Research- Medical Informatics, 2017
• Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.Fodeh SJ, Tiwari A. Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification. Journal Of Biomedical Informatics 2018, 86:160-166.
• Classifying Clinical Notes with Pain Assessment.Fodeh SJ, Finch D, Bouayad L, Luther S, Kerns RD, Brandt C. Classifying Clinical Notes with Pain Assessment. Studies In Health Technology And Informatics 2017, 245:1261.
• Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators.Womack JA, Murphy TE, Rentsch CT, Tate JP, Bathulapalli H, Smith AC, Bates J, Jarad S, Gibert CL, Rodriguez-Barradas MC, Tien PC, Yin MT, Gill TM, Friedlaender G, Brandt CA, Justice AC. Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators. Journal Of Acquired Immune Deficiency Syndromes (1999) 2019, 82:305-313.
• Classification of Patients with Coronary Microvascular Dysfunction.Fodeh S, Li T, Jarad H, Safdar B. Classification of Patients with Coronary Microvascular Dysfunction. IEEE/ACM Transactions On Computational Biology And Bioinformatics / IEEE, ACM 2020, 17:704-711.
• Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.Coleman BC, Fodeh S, Lisi AJ, Goulet JL, Corcoran KL, Bathulapalli H, Brandt CA. Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization. Chiropractic & Manual Therapies 2020, 28:47.
• Serious Falls in Middle-Aged Veterans: Development and Validation of a Predictive Risk Model.Womack JA, Murphy TE, Bathulapalli H, Smith A, Bates J, Jarad S, Redeker NS, Luther SL, Gill TM, Brandt CA, Justice AC. Serious Falls in Middle-Aged Veterans: Development and Validation of a Predictive Risk Model. Journal Of The American Geriatrics Society 2020, 68:2847-2854.
• Validating a natural language processing tool to exclude psychogenic nonepileptic seizures in electronic medical record-based epilepsy research.Hamid H, Fodeh SJ, Lizama AG, Czlapinski R, Pugh MJ, LaFrance WC, Brandt CA. Validating a natural language processing tool to exclude psychogenic nonepileptic seizures in electronic medical record-based epilepsy research. Epilepsy & Behavior : E&B 2013, 29:578-80.
• Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis.Kwon J, Grady C, Feliciano JT, Fodeh SJ. Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis. Journal Of Biomedical Informatics 2020, 111:103601.
• Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter.Fodeh SJ, Al-Garadi M, Elsankary O, Perrone J, Becker W, Sarker A. Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter. Computers In Biology And Medicine 2021, 129:104132.
• Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.Sangal RB, Fodeh S, Taylor A, Rothenberg C, Finn EB, Sheth K, Matouk C, Ulrich A, Parwani V, Sather J, Venkatesh A. Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data. Journal Of Stroke And Cerebrovascular Diseases : The Official Journal Of National Stroke Association 2020, 29:105306.
• Reducing Annotation Burden Through Multimodal Learning.Lopez K, Fodeh SJ, Allam A, Brandt CA, Krauthammer M. Reducing Annotation Burden Through Multimodal Learning. Frontiers In Big Data 2020, 3:19.
• Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities.Su Y, Venkat A, Yadav Y, Puglisi LB, Fodeh SJ. Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities. Computers In Biology And Medicine 2021, 132:104336.