EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension
Watch the Recording
Speakers
Chunhua Weng, PhD
Columbia University
Tian Kang, PhD
Manager
Hanyin Wang
PhD Candidate
Northwestern University, Feinberg School of Medicine
Evanston, IL
Moderator
Sarvesh Soni, PhD Candidate
University of Texas Health Science Center at Houston
Statement of Purpose
When it comes to practicing evidence-based medicine, the PICO framework is the most widely adopted model for structuring clinical questions for clinical evidence retrieval. This work goes beyond the PICO entity level and contributes a 3-level computable representation for clinical evidence called EvidenceMap and accompanying annotated corpora and an NLP pipeline.
Learning Objectives
After participating in the webinar, attendees should be able to:
- To appreciate the value of a symbolic knowledge representation for clinical evidence
- To appreciate the symbiosis between a knowledge representation and an NLP pipeline for structuring clinical evidence in PubMed