Surrogate-assisted feature extraction for high-throughput phenotyping

Conclusion SAFE advances high-throughput phenotyping methods by automatically selecting a succinct set of informative features for algorithm training, which in turn reduces overfitting and the needed number of gold-standard labels. SAFE also potentially identifies important features missed by automated feature extraction for phenotyping or experts.

Source: Journal of the American Medical Informatics Association - September 14, 2016 Category: Information Technology Authors: Yu, S., Chakrabortty, A., Liao, K. P., Cai, T., Ananthakrishnan, A. N., Gainer, V. S., Churchill, S. E., Szolovits, P., Murphy, S. N., Kohane, I. S., Cai, T. Tags: Research and Applications Source Type: research