Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

This work was supported by research funding of Japanese Society of Cardiovascular Physical Therapy and JSPS KAKENHI Grant Number JP25K02969.

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Publication Details

Journal
The Lancet Regional Health - Western Pacific
Published
2026-02-01
DOI
https://doi.org/10.1016/j.lanwpc.2026.101808
Primary Topic
Heart Failure Treatment and Management
Type
article
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article

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

Yoshinari Funami, Masanobu Taya, Masakazu Saitoh, Koji Sakurada et al.
The Lancet Regional Health - Western Pacific
Heart Failure Treatment and Management
article

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

Yoshinari Funami, Masanobu Taya, Masakazu Saitoh, Koji Sakurada, Tomoyuki Morisawa, Kanji Yamada, Yuki Iida, Yuji Kono, Kentaro Iwata, Nobuyuki Kagiyama, Tetsuya Takahashi, Michitaka Kato, Kentaro Kamiya
article en

Abstract

This work was supported by research funding of Japanese Society of Cardiovascular Physical Therapy and JSPS KAKENHI Grant Number JP25K02969.

The Lancet Regional Health - Western PacificVol. 67
Juntendo University (JP), The Japanese Society of Gastroenterological Surgery (JP), Kobe City Medical Center General Hospital (JP)
Good health and well-being
Openalex Percentile: Top 68%
Heart Failure Treatment and Management
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