Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources

Cardiac surgery patients are highly prone to severe complications post-discharge. Close follow-up through remote patient monitoring can help detect adverse outcomes earlier or prevent them, closing the gap between hospital and home care. However, equipment is limited due to economic and human resour...

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Bibliographic Details

Published in:	International journal of medical informatics (Shannon, Ireland) Vol. 182; p. 105307
Main Authors:	Santos, Ricardo, Ribeiro, Bruno, Sousa, Inês, Santos, Jorge, Guede-Fernández, Federico, Dias, Pedro, Carreiro, André V, Gamboa, Hugo, Coelho, Pedro, Fragata, José, Londral, Ana
Format:	Journal Article
Language:	English
Published:	Ireland 01-02-2024
Subjects:	Clinical decision support system Risk estimation Cardiothoracic surgery Complications prediction Remote patient monitoring Machine learning
Online Access:	Get full text
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