Member Database

VG Vinod Vydiswaran

Associate Professor
Learning Health Sciences

PhD, Computer Science, University of Illinois at Urbana-Champaign
Masters in Technology, Indian Institute of Technology Bombay

V.G. Vinod Vydiswaran, PhD, is an assistant professor of learning health sciences at the University of Michigan Medical School and assistant professor of information, School of Information. His areas of interest include natural language processing, text and data mining, health information extraction, and information trustworthiness. His current research focus is on mining and analyzing health information from multiple sources, including electronic health records, community health forums, scientific literature, and social and information networks, with a special interest in analyzing textual health information to infer credibility of medical assertions.


Precision Prevention of New Persistent Opioid Use Following Surgery: A machine learning-based treatment approach

University Affiliation(s)

IHPI | MIDAS | Medical school | MiCHAMP | Um Health Informatics

Community and Professional Affiliation(s)

American Medical Informatics Association | Association for Information Science & Technology

Research Area(s)

Artificial Intelligence | Computational Data Science | Data science / Analytics / AI | Deep neural networks | Health Analytics | Natural language processing | social media use


  • Funded by: VYDISWARAN, VG Vinod V
  • Co-investigator of: Symptom Experience and Impact among Older Adults on Oral Anticancer Agents for Advanced Disease
  • Co-investigator of: Application of Artificial Intelligence to Predict Pediatric Emergency Care Outcomes at Triage
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