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Development and external validation of a machine learning model for predicting immediate postoperative instability in adults undergoing cardiac surgery

2026-02-16

Abstract excerpt

<title>Abstract</title> <p>Background Patients undergoing cardiac surgery are at high risk of major early postoperative ficomplications that may lead to hemodynamic instability. Predicting and managing immediate postoperative adverse events remain challenging owing to the complex and nonlinear interplay of numerous risk factors. This study aimed to develop and externally validate a machine-learning (ML) model to...

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Literature Corpus work
f5a111da-a8c7-5743-b52b-6c588cd1baed
DOI
10.21203/rs.3.rs-8826913/v1
Open publication

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Development and external validation of a machine learning model for predicting immediate postoperative instability in adults undergoing cardiac surgeryDOI 10.21203/rs.3.rs-8826913/v1
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