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Development and Temporal External Validation of an XGBoost-Based Clinical Prediction Model for PACU Hypoxemia in Elderly Thoracic Surgery Patients

2026-02-17

Abstract excerpt

<title>Abstract</title> <p>Objective To develop and validate a machine learning-based risk prediction model for postoperative hypoxemia in elderly patients undergoing thoracic surgery in the post-anesthesia care unit (PACU), aiming to provide a decision-support tool for perioperative precision prevention. Methods This study involved a retrospective development cohort of 5134 elderly thoracic surgery patients fr...

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Literature Corpus work
9c87898b-b8f4-5c0b-915a-6a944c9136bc
DOI
10.21203/rs.3.rs-8723621/v1
Open publication

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Development and Temporal External Validation of an XGBoost-Based Clinical Prediction Model for PACU Hypoxemia in Elderly Thoracic Surgery PatientsDOI 10.21203/rs.3.rs-8723621/v1
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