Article
Surrogate-assisted feature extraction for high-throughput phenotyping.
Journal of the American Medical Informatics Association : JAMIA - 1 Apr 2017
Yu Sheng, Chakrabortty Abhishek, Liao Katherine P, Cai Tianrun, Ananthakrishnan Ashwin N, Gainer Vivian S, Churchill Susanne E, Szolovits Peter, Murphy Shawn N, Kohane Isaac S, Cai Tianxi
Abstract excerpt
OBJECTIVE: Phenotyping algorithms are capable of accurately identifying patients with specific phenotypes from within electronic medical records systems. However, developing phenotyping algorithms in a scalable way remains a challenge due to the extensive human resources required. This paper introduces a high-throughput unsupervised feature selection method, which improves the robustness and scalability of...
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