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Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery
Author(s) -
Peter Schulam,
Fredrick M. Wigley,
Suchi Saria
Publication year - 2015
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v29i1.9537
Subject(s) - subtyping , cluster analysis , hierarchical clustering , disease , computer science , data mining , computational biology , machine learning , medicine , artificial intelligence , biology , programming language

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