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sureLDA: A Multi-Disease Automated Phenotyping Method for the Electronic Health Record
View ORCID ProfileYuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai
doi: https://doi.org/10.1101/2020.04.13.038968
Yuri Ahuja
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
2Harvard Medical School, Boston, MA, USA
MSDoudou Zhou
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
3UC Davis, Davis, CA, USA
BSZeling He
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
MSJiehuan Sun
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
4VA Boston Healthcare System, Boston, MA, USA
PhDVictor M. Castro
5Partners Healthcare System, Charlestown, MA, USA
MSVivian Gainer
5Partners Healthcare System, Charlestown, MA, USA
MSShawn N. Murphy
2Harvard Medical School, Boston, MA, USA
5Partners Healthcare System, Charlestown, MA, USA
MD PhDChuan Hong
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
2Harvard Medical School, Boston, MA, USA
PhDTianxi Cai
2Harvard Medical School, Boston, MA, USA
4VA Boston Healthcare System, Boston, MA, USA
ScDArticle usage
Posted April 14, 2020.
sureLDA: A Multi-Disease Automated Phenotyping Method for the Electronic Health Record
Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai
bioRxiv 2020.04.13.038968; doi: https://doi.org/10.1101/2020.04.13.038968
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