Advanced machine learning models for prediction of readmission and mortality risks in patients with chronic obstructive pulmonary disease using routine clinical data

Advanced machine learning models for prediction of readmission and mortality risks in patients with chronic obstructive pulmonary disease using routine clinical data

Objectives: To develop a comprehensive machine learning model incorporating various clinical factors, including frailty and comorbidities, to predict 30-day readmission and mortality risk in patients with chronic obstructive pulmonary disease (COPD). Methods: This retrospective cohort study used...

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Bibliographic Details
Main Authors: Yasuhiro Goto, Daisuke Niwa, Shuhei Shibata, Ryoma Nishimoto, Masami Miyata, Takashi Kanno, Toshiyuki Washizawa, Masashi Kondo, Kazuyoshi Imaizumi
Format: Article
Language:English
Published: Fujita Medical Society 2025-08-01
Series:Fujita Medical Journal
Subjects:
chronic obstructive pulmonary disease
machine learning
risk prediction
hospital readmission
electronic health records
Online Access:https://www.jstage.jst.go.jp/article/fmj/11/3/11_2024-027/_pdf/-char/en
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https://www.jstage.jst.go.jp/article/fmj/11/3/11_2024-027/_pdf/-char/en

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