Dr. Agent: Clinical predictive model via mimicked second opinions.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Jul 1, 2020

Abstract

OBJECTIVE: Prediction of disease phenotypes and their outcomes is a difficult task. In practice, patients routinely seek second opinions from multiple clinical experts for complex disease diagnosis. Our objective is to mimic such a practice of seeking second opinions by training 2 agents with different focuses: the primary agent studies the most recent visit of the patient to learn the current health status, and then the second-opinion agent considers the entire patient history to obtain a more global view.

Authors

Junyi Gao

Analytics Center of Excellence, IQVIA, Beijing, China.
Cao Xiao

University of Washington, Department of Industrial and Systems Engineering, Seattle, USA.
Lucas M Glass

Analytics Center of Excellence, IQVIA, Cambridge, Massachusetts, USA.
Jimeng Sun

College of Computing Georgia Institute of Technology Atlanta, GA, USA.

Keywords

Computer Simulation Deep Learning Disease Progression Hospital Mortality Humans Length of Stay Logistic Models Neural Networks, Computer Prognosis Referral and Consultation

External Resources

View on PubMed Access via DOI PubMed (32548622)

Dr. Agent: Clinical predictive model via mimicked second opinions.

Abstract

Authors

Keywords

External Resources

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