PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT

Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneumonia remains a significant challenge for improving the outcomes and decreasing the cost of healthcare delivery in the United States. Patient readmiss...

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Publicado no:Pac Symp Biocomput
Main Authors: SHAMEER, KHADER, JOHNSON, KIPP W, YAHI, ALEXANDRE, MIOTTO, RICCARDO, LI, LI, RICKS, DORAN, JEBAKARAN, JEBAKUMAR, KOVATCH, PATRICIA, SENGUPTA, PARTHO P., GELIJNS, ANNETINE, MOSKOVITZ, ALAN, DARROW, BRUCE, REICH, DAVID L, KASARSKIS, ANDREW, TATONETTI, NICHOLAS P., PINNEY, SEAN, DUDLEY, JOEL T
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5362124/
https://ncbi.nlm.nih.gov/pubmed/27896982
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