Abstract
In this paper, we present a new approach to improving the relevance and reliability of medical IR, which builds upon the concept of Level of Evidence (LoE). LoE framework categorizes medical publications into 7 distinct levels based on the underlying empirical evidence. Despite LoE frameworks relevance in medical research and evidence-based practice, only few medical publications explicitly state their LoE. Therefore, we develop a classification model for automatically assigning LoE to medical publications, which successfully classifies over 26 million documents in MEDLINE database into LoE classes. The subsequent retrieval experiments on TREC PM datasets show substantial improvements in retrieval relevance, when LoE is used as a search filter.
Sameh Frihat
Researcher in the first cohort
My research interests include Information Retrieval, Natural Language Processing, Machine Learning, and Explainable AI.
Norbert Fuhr
Principal Investigator
My research interests include Information Retrieval, Natural Language Processing and Computer Science.