Open AccessReal-time prediction of mortality, readmission, and length of stay using electronic health record data
Author(s) -
Xiongcai Cai,
Oscar PerezConcha,
Enrico Coiera,
Fernando Martín-Sánchez,
Richard O. Day,
David Roffe,
Blanca Gallego
Publication year - 2015
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocv110
Subject(s) - electronic health record , health records , computer science , medicine , emergency medicine , health care , economics , economic growth
To develop a predictive model for real-time predictions of length of stay, mortality, and readmission for hospitalized patients using electronic health records (EHRs).
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