Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization. Ho, J. C., Ghosh, J., & Sun, J. In The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 115–124, 2014. Paper doi bibtex @inproceedings{DBLP:conf/kdd/HoGS14,
author = {Joyce C. Ho and
Joydeep Ghosh and
Jimeng Sun},
title = {Marble: high-throughput phenotyping from electronic health records
via sparse nonnegative tensor factorization},
booktitle = {The 20th {ACM} {SIGKDD} International Conference on Knowledge Discovery
and Data Mining, {KDD} '14, New York, NY, {USA} - August 24 - 27,
2014},
pages = {115--124},
year = {2014},
crossref = {DBLP:conf/kdd/2014},
url = {https://doi.org/10.1145/2623330.2623658},
doi = {10.1145/2623330.2623658},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/bib/conf/kdd/HoGS14},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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