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Peer-Reviewed Original Research (Journal Publications)










Invited Editorials and Commentaries

  1. Zeng QT, Fodeh S. Clinical data mining. Computers in biology and medicine. 2015 Jul 1;62(C):293.
  2. Fodeh S, Zeng Q. Mining Big Data in Biomedicine and Health Care. Journal of biomedical informatics. J Biomed Inform. 2016 Oct; 63:400-403. doi: 10.1016/j.jbi.2016.09.014.
  3. Samah Fodeh, Mining Big Biomedical Data, International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 6(1), 2016.
  4. Samah Fodeh, Knowledge discovery in biomedicine, International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 2018.
  5. Da Yan, Xin Gao, Samah J. Fodeh, and Jake Y. Chen. Guest Editorial for Selected Papers from BIOKDD 2018 and DMBIH 2018. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2019.

Peer-Reviewed Original Research (Conference Publications)

  1. Kapila Moonesinghe, Samah Fodeh, and Pang-Ning Tan, Frequent Closed Itemset Mining using Prefix Graphs with an Efficient Flow-Based Pruning Strategy, Proc of IEEE Int'l Conf in Data Mining (ICDM-06), Hong Kong (2006)
  2. Kapila Moonesinghe, Hamed Valizadegan, Samah Fodeh, and Pang-Ning Tan. A Probabilistic Substructure-Based Approach for Graph Classification, to appear in Proc of IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI-07), Patras, Greece, October 29-31 (2007)
  3. Samah Fodeh and Pang-Ning Tan. Incorporating Background Knowledge from the World Wide Web Using the Minimum Discriminative Information Principle, Proc of KDD 2007 Workshop on Mining Multiple Information Sources, August 12-15 (2007).
  4. Samah Fodeh and Pang-Ning Tan. Incorporating Background Knowledge for Subjective Rule Evaluation, in Proc of IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI-07), Patras, Greece, October 29-31 (2007).
  5. Samah Fodeh, Bill Punch and Pang-Ning Tan. Combining Statistics and Semantics via Ensemble Model for Document Clustering. In Proc. Of 24th annual ACM Symposiums on Applied Computing. (2009).
  6. Samah J. Fodeh , Qing T. Zeng, Doug F Redd, Guy Divita, Brandt CA, Clinical Note Type Analysis, AMIA 2011.
  7. Samah Fodeh, Ali Haddad, Cynthia Brandt, Martin Schultz, Micheal Karauthaumer, Enhancing Clustering by Exploiting Complementary Data Modalities in the Medical Domain, Artificial Intelligence Applications and Innovations AIAI 2012.
  8. Samah J. Fodeh , Sharmila Chatterjee MD , Brandt CA. Categorizing VA Telephone notes Content using Topic Modeling. The 2013 Electronic Data Methods EDM Forum Stakeholder Symposium, Baltimore.
  9. Samah J. Fodeh , Sharmila Chatterjee MD , Brandt CA, Analysis of VA Telephone Call Notes using Topic Modeling AMIA 2012.
  10. H Hamid, S J Fodeh, A G Lizama, R Czlapinski, M J Pugh, W C Lafrance, C A Brandt. Validating a natural language processing tool to exclude psychogenic nonepileptic seizures in electronic medical record-based epilepsy research.
  11. Samah Fodeh, Maryan Zirkle, Ruth Reeves, Finch Dezon, Joseph Erdos, and Cynthia Brandt. MedCat: A Framework for High Level Conceptualization of Medical Notes. Proc of IEEE Int'l Conf. in Data Mining (ICDM-13), in the Data Mining in Biomedical Informatics and Healthcare Workshop. Best Paper Award.
  12. Jonathan Bates, Samah Fodeh, Cynthia Brandt, Julie Womack. Detecting Patient Falls from the EHR using NLP and Text Mining. NLM Informatics Training Conference 2014.
  13. Samah Jamal Fodeh, Bryan Travis Gamble, and Kei-Hoi Cheung. Post-Traumatic Stress Disorder (PTSD) Ontology and Use Case. In proceedings of the 2014 Bio-Ontologies SIG.
  14. Samah Jamal Fodeh, Cynthia Brandt, Perry Miller, Kyle Lee, Michele Koss, Andrea Benin, Laplacian SVM based Feature Selection Improves Medical Event Reports Classification. DMBIH workshop at ICDM 2015.
  15. Samah J. Fodeh; Cynthia Brandt; Perry Miller ; Michele Koss ; Andrea L. Benin. Feature Selection Based LapSVM to Classify Medical Event Reports and Enhance Patient Safety. AMIA 2015.
  16. Andrea Benin, Samah J. Fodeh; Michele Koss; Kyle Lee; Perry Miller; Cynthia Brandt. Using the Adverse Event Reporting System: Can Analysis be Streamlined by Text Processing? AMIA 2015.
  17. Karen H. Wang ;Constance Carroll ; Brenda Fenton ; Samah J. Fodeh ; Joseph Erdos ; Marcella Nunez-Smith; Amy C. Justice; Cynthia Brandt. Exploring Healthcare Mobility in the US to Improve Quality of Care: Preliminary Results. AMIA 2015.
  18. Samah Fodeh, Aditya Tiwari, Hong Yu, “Protein Molecular Function Prediction using PubMed via Multi-Label Classification”, Fifth International Workshop on Data Mining in Biomedicine and Healthcare (DMBIH) held with the International conference on Data Mining. 2017
  19. Samah Fodeh, Joseph Goulet, Cynthia Brandt, Hamada Al-Talib. “Leveraging Twitter to better identify suicide risk”. 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. Best Paper Award.
  20. Reilly Grant, David Kucher, Ana León, Jonathan Gemmell, Daniela Raicu, Samah Fodeh. “Automatic Extraction of Informal Topics from Online Suicidal Ideation”. Proceedings of the 11th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO) in conjunction with ACM 26th Conference on Information and Knowledge Management (CIKM), 2017.
  21. Fodeh, Samah, Aditya Tiwari, and Hong Yu. "Exploiting PubMed for Protein Molecular Function Prediction via NMF Based Multi-label Classification." In Data Mining Workshops (ICDMW), 2017 IEEE International Conference on, pp. 446-451. IEEE, 2017.
  22. Aditya Tiwari, Samah Fodeh, Steven Baccie, Max Rosen. “Automatic Classification of Critical Findings in Radiology Reports”. Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, PMLR 69:35-39, 2017.
  23. Samah Fodeh, Taihua Li, Haya Jarad, Basmah Safdar. Identifying Patients with Coronary Microvascular Dysfunction using Machine Learning. 7th International Workshop on Data Mining in Biomedicine and Healthcare (DMBIH) held with the International conference on Data Mining (ICDM). 2018
  24. S Fodeh, T Li, K Menczynski, T Burgette, A Harris, G Ilita, S Rao, Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter. 2019 International Conference on Data Mining Workshops (ICDMW), 941-948
  25. Samah J. Fodeh ; Edelman Jennifer ; William Becker ; Cynthia Brandt ; Sally Haskell. Prescription opioid tapering: Mining structured and unstructured data. AMIA,2020
  26. Samah J. Fodeh ; Brenda Fenton ; Hamada Al-Talib ; Jason Sico. Exploring the Lag in Migraine Diagnoses using Unstructured Clinical Notes. AMIA 2020.
  27. Jason Sico, Samah J. Fodeh ; Brenda Fenton; Headache Not Otherwise Specified: Impact of the Transition from ICD-9 to ICD-10 Diagnostic Classification within the Veterans Health Administration. AHS 62nd Annual Scientific Meeting.2020.
  28. Samah Fodeh, Huan Li, Khaled Jarad, Stephen Holt. Integrating Social Media data with Electronic Health Records to better Understand Opioid Use Disorder. AMIA 2020.
  29. Brian C. Coleman, Samah Fodeh, Anthony J. Lisi, Alicia A. Heapy, Cynthia A. Brandt. Pain Assessment in Veterans Health Administration Chiropractic Clinic Documentation. AMIA 2020.