Authors:
Jesse Wang
1
and
Henry Kautz
2
Affiliations:
1
Department of Translational Biomedical Science, University of Rochester Medical Center, Rochester, NY and U.S.A.
;
2
Department of Computer Science, University of Rochester, Rochester, NY and U.S.A.
Keyword(s):
Applied Computing, Life and Medical Sciences, Health Care Information Systems.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Software Development
;
Symbolic Systems
Abstract:
A new clinical literature search engine, called CupQ, is presented. It aims to help clinicians stay updated with medical knowledge. Although PubMed is currently one of the most widely used digital libraries for biomedical information, it frequently does not return clinically relevant results. CupQ utilizes a ranking algorithm that filters non-medical journals, compares semantic similarity between queries, and incorporates journal impact factor and publication date. It organizes search results into useful categories for medical practitioners: reviews, guidelines, and studies. Qualitative comparisons suggest that CupQ may return more clinically relevant information than PubMed. CupQ is available at https://cupq.io/.