This paper is in the following e-collection/theme issue:

Machine Learning (1679) Decision Support for Health Professionals (1320) Electronic Health Records (1149) Secondary Use of Clinical Data for Research and Surveillance (408) Clinical Information and Decision Making (1599)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27936, first published .
Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Database: Retrospective Cohort Study

Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Database: Retrospective Cohort Study

Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Database: Retrospective Cohort Study

Authors of this article:

Hiroki Matsui1 Author Orcid Image ;   Hayato Yamana2 Author Orcid Image ;   Kiyohide Fushimi3 Author Orcid Image ;   Hideo Yasunaga1 Author Orcid Image
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RT @jmirpub: New JMIR MedInform: Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Da…

3:44 PM · Feb 11, 2022

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RT @jmirpub: New JMIR MedInform: Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Da…

3:44 PM · Feb 11, 2022

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