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Samah Fodeh, PhD

Assistant Professor of Emergency Medicine and of Biostatistics (Health Informatics)

Research Summary

Build predictive models of healthcare outcomes. Characterize themes of patient-provider communication and link them to healthcare outcomes. Mine social media data to learn about social behaviors associated with critical healthcare outcomes such as suicide and opioid addiction.

Coauthors

Research Interests

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

Public Health Interests

COVID-19

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Selected Publications

  • 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.
  • 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.
  • 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.
  • Clinical Data MiningQing Zeng, Samah Fodeh, Computers in biology and medicine;62(C):293, 2015
  • Mining Big Biomedical Data,Samah Fodeh, International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 6(1), 2016.
  • 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