Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery

We developed a high-accuracy model to predict HAFD in older patients who have undergone cardiovascular surgery and identified key associated factors, informing preoperative evaluations and interventions in clinical practice.

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Publication Details

Journal
World Journal of Clinical Cases
Published
2026-02-05
DOI
https://doi.org/10.12998/wjcc.v14.i4.117700
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery

Shinsuke Imaoka, Shohei Minata, Noboru Sato, R. Hiramatsu et al.
World Journal of Clinical Cases
Cardiac, Anesthesia and Surgical Outcomes
article

Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery

Shinsuke Imaoka, Shohei Minata, Noboru Sato, R. Hiramatsu, Hidenori Sako
article en

Abstract

We developed a high-accuracy model to predict HAFD in older patients who have undergone cardiovascular surgery and identified key associated factors, informing preoperative evaluations and interventions in clinical practice.

World Journal of Clinical CasesVol. 14(4)
Oita University Hospital (JP), Kishokai Medical Corporation (JP)
No poverty
Openalex Percentile: Top 67%
Cardiac, Anesthesia and Surgical Outcomes
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