Limestone: High-throughput candidate phenotype generation via tensor factorization. Ho, J. C., Ghosh, J., Steinhubl, S. R., Stewart, W. F., Denny, J. C., Malin, B. A., & Sun, J. Journal of Biomedical Informatics, 52:199–211, 2014.
Limestone: High-throughput candidate phenotype generation via tensor factorization [link]Paper  doi  bibtex   
@article{DBLP:journals/jbi/HoGSSDMS14,
  author    = {Joyce C. Ho and
               Joydeep Ghosh and
               Steven R. Steinhubl and
               Walter F. Stewart and
               Joshua C. Denny and
               Bradley A. Malin and
               Jimeng Sun},
  title     = {Limestone: High-throughput candidate phenotype generation via tensor
               factorization},
  journal   = {Journal of Biomedical Informatics},
  volume    = {52},
  pages     = {199--211},
  year      = {2014},
  url       = {https://doi.org/10.1016/j.jbi.2014.07.001},
  doi       = {10.1016/j.jbi.2014.07.001},
  timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/jbi/HoGSSDMS14},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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