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Clinical Information and Decision Making (1612) Electronic Health Records (1163) Machine Learning (1694) Intensive Care Unit (ICU) (135)

Published on in Vol 22, No 3 (2020): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16374, first published .
Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

Authors of this article:

Subendhu Rongali1 Author Orcid Image ;   Adam J Rose2 Author Orcid Image ;   David D McManus3 Author Orcid Image ;   Adarsha S Bajracharya3 Author Orcid Image ;   Alok Kapoor3, 4 Author Orcid Image ;   Edgard Granillo5 Author Orcid Image ;   Hong Yu1, 3, 6, 7 Author Orcid Image
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Sven Awege Sven Awege @SVENNIECO

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation https://t.co/J0Ebf9T53L

2:09 PM · Mar 23, 2020

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Learning Latent Space Representations to Predict ##Patient Outcomes: Model Development and Validation… https://t.co/wDxbHC2cf5

2:24 PM · Mar 23, 2020

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Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation https://t.co/ImZetccqme

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#Memory #Memory @Memory_Journal

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation. https://t.co/bHTZj02Px6 #PubMed #Memory

7:36 AM · Mar 25, 2020

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