Predicting post-discharge complications in cardiothoracic surgery

Funding Information: This work was done under the project “CardioFollow.AI: An intelligent system to improve patients' safety and remote surveillance in follow-up for cardiothoracic surgery”, and supported by national funds through ‘FCT – Portuguese Foundation for Science and Technology , I.P.’, with reference DSAIPA/AI/0094/2020 . Publisher Copyright: © 2023 The Author(s)

Publication Details

Journal
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Published
2024-09-27
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting post-discharge complications in cardiothoracic surgery

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Artificial Intelligence in Healthcare and Education
article

Predicting post-discharge complications in cardiothoracic surgery

article en

Abstract

Funding Information: This work was done under the project “CardioFollow.AI: An intelligent system to improve patients' safety and remote surveillance in follow-up for cardiothoracic surgery”, and supported by national funds through ‘FCT – Portuguese Foundation for Science and Technology , I.P.’, with reference DSAIPA/AI/0094/2020 . Publisher Copyright: © 2023 The Author(s)

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Partnerships for the goals
Openalex Percentile: Top 58%
Artificial Intelligence in Healthcare and Education
Open Access PDFOpenAlex
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Predicting post-discharge complications in cardiothoracic surgery · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (2024) | TGRS Research Map | TGRS