Clustering longitudinal clinical marker trajectories from electronic health data: Applications to phenotyping and endotype discovery

Proceedings of the National Conference on Artificial Intelligence

Volumn 4, Issue , 2015, Pages 2956-2964

  Schulam, Peter ^a   Wigley, Fredrick ^b   Saria, Suchi ^a  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORMAL LANGUAGES; HIERARCHICAL SYSTEMS;

AUTOIMMUNE DISORDER; BIASED ESTIMATES; CARDIO-VASCULAR DISEASE; CLINICAL EXPERIMENTS; ELECTRONIC HEALTH; HIERARCHICAL MODEL; IRREGULAR SAMPLING; SOURCES OF VARIABILITY;

DISEASES;

EID: 84960123355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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