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.
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources [link]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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