Applying active learning to high-throughput phenotyping algorithms for electronic health records data.

CONCLUSIONS: This study demonstrated that AL can be useful in ML-based phenotyping methods. Moreover, AL and feature engineering based on domain knowledge could be combined to develop efficient and generalizable phenotyping methods. PMID: 23851443 [PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/23851443?dopt=Abstract

Source: Journal of the American Medical Informatics Association - July 13, 2013 Category: Information Technology Authors: Chen Y, Carroll RJ, Hinz ER, Shah A, Eyler AE, Denny JC, Xu H Tags: J Am Med Inform Assoc Source Type: research