Marble: High-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2014, Pages 115-124

  Ho, Joyce C ^a   Ghosh, Joydeep ^a   Sun, Jimeng ^b  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

application; dimensionality reduction; EHR phenotyping; tensor

Indexed keywords

EID: 84907024756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623658     Document Type: Conference Paper

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