Patient-Centered Evidence-Based Medical Question and Answer

This project aims at the development of a medical question and answer system that will provide an easy-to-use interface for clinicians to retrieve evidence-based and patient-centered answers at the point of care. We research text mining and understanding algorithms for both structured and unstructured evidence-based medicine databases and electronic medical records. Various information retrieval and natural language algorithms are developed and studied in this project.

• Status:
• Funding:
• Members: Tetsuya Kobayashi Chi-Ren Shyu

• Publications:
  P. E. Pancoast, Arthur Smith, and Chi-Ren Shyu. Codifying Semantic Information in Medical Questions Using Lexical Sources, in MedINFO, San Francisco, CA, September 2004
  
  Bernard Ewigman, E. Lindbloom, Tim Patrick, M. H Hauan, Chi-Ren Shyu, and J. Hickner. The family practice inquiries network (FPIN) research mission, in Society of Teachers of Family Medicine 35th Annual Spring Conference, San Francisco, April/May 2002
  
  Tetsuya Kobayashi, and Chi-Ren Shyu. Representing Clinical Questions by Semantic Type for Better Classification, in American Medical Informatics Association Annual Symposium, Washington DC, November 2006
  
  Tetsuya Kobayashi, and Chi-Ren Shyu. A Computational Approach to Detect Duplicate Clinical Questions for the Family Physicians Inquiries Network, in Enhancing Healthcare Education, Research & Practice Symposium, Hong Kong, China, July 2007
  
  

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