Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources. Yu, S., Liao, K. P., Shaw, S. Y., Gainer, V. S., Churchill, S. E., Szolovits, P., Murphy, S. N., Kohane, I. S., & Cai, T. J. Am. Medical Informatics Assoc., 22(5):993–1000, 2015. Paper doi bibtex @article{DBLP:journals/jamia/YuLSGCSMKC15,
author = {Sheng Yu and
Katherine P. Liao and
Stanley Y. Shaw and
Vivian S. Gainer and
Susanne E. Churchill and
Peter Szolovits and
Shawn N. Murphy and
Isaac S. Kohane and
Tianxi Cai},
title = {Toward high-throughput phenotyping: unbiased automated feature extraction
and selection from knowledge sources},
journal = {J. Am. Medical Informatics Assoc.},
volume = {22},
number = {5},
pages = {993--1000},
year = {2015},
url = {https://doi.org/10.1093/jamia/ocv034},
doi = {10.1093/jamia/ocv034},
timestamp = {Mon, 11 May 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jamia/YuLSGCSMKC15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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