Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points

Electronic medical records (EMR) contain a longitudinal collection of laboratory data that contains valuable phenotypic information on disease progression of a large collection of patients. These data can be potentially used in medical research or patient care; finding disease progression subtypes i...

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Bibliographic Details
Published in:AMIA Annu Symp Proc
Main Authors: Huopaniemi, Ilkka, Nadkarni, Girish, Nadukuru, Rajiv, Lotay, Vaneet, Ellis, Steve, Gottesman, Omri, Bottinger, Erwin P
Format: Artigo
Language:Inglês
Published: American Medical Informatics Association 2014
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4419979/
https://ncbi.nlm.nih.gov/pubmed/25954377
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