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

Machine Learning (1501) Electronic Health Records (1068) Secondary Use of Clinical Data for Research and Surveillance (375) Decision Support for Health Professionals (1210)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36202, first published .
Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

Authors of this article:

Carson Lam1 Author Orcid Image ;   Rahul Thapa1 Author Orcid Image ;   Jenish Maharjan1 Author Orcid Image ;   Keyvan Rahmani1 Author Orcid Image ;   Chak Foon Tso1 Author Orcid Image ;   Navan Preet Singh1 Author Orcid Image ;   Satish Casie Chetty1 Author Orcid Image ;   Qingqing Mao1 Author Orcid Image
Article Authors Cited by (8) Tweetations (14) Metrics

Carson Lam   1 * , MD ;   Rahul Thapa   1 * , BSc ;   Jenish Maharjan   1 * , MSc ;   Keyvan Rahmani   1 * , PhD ;   Chak Foon Tso   1 , PhD ;   Navan Preet Singh   1 , MSc ;   Satish Casie Chetty   1 , PhD ;   Qingqing Mao   1 , PhD

1 Dascena, Inc, Houston, TX, United States

*these authors contributed equally

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