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

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.

Materials and methods

Our approach Dr. Agent augments recurrent neural networks with 2 policy gradient agents. Moreover, Dr. Agent is customized with various patient demographics information and learns a dynamic skip connection to focus on the relevant information over tim

SUBMITTER: Gao J 

PROVIDER: S-EPMC7647368 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature