SHAP based predictive modeling for 1 year all-cause readmission risk in elderly heart failure patients: feature selection and model interpretation-Reference-Cited by-同舟云学术

SHAP based predictive modeling for 1 year all-cause readmission risk in elderly heart failure patients: feature selection and model interpretation

Published:2024-07-31 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Luo Hao,Xiang Congyu,Zeng Lang,Li Shikang,Mei Xue,Xiong Lijuan,Liu Yanxu,Wen Cong,Cui Yangyang,Du Linqin,Zhou Yang,Wang Kun,Li Lan,Liu Zonglian,Wu Qi,Pu Jun,Yue Rongchuan

Funder

Doctor start-up fundation of North Sichuan Medical College

Central Government Guides Local Scientific and Technological Development Projects

the Nanchong science and technology plan project

esearch and development program of North Sichuan Medical College

Sichuan Medical Science and Technology Innovation Research Society Program

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-67844-7.pdf

Reference40 articles.

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2. Conrad, N. et al. Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals. Lancet 391(10120), 572–580 (2018).

3. Wei, J. Y. Age and the cardiovascular system. N. Engl. J. Med. 327(24), 1735–1739 (1992).

4. Liao, L., Allen, L. A. & Whellan, D. J. Economic burden of heart failure in the elderly. Pharmacoeconomics 26(6), 447–462 (2008).

5. Patel, N. et al. Association between depression and readmission of heart failure: A national representative database study. Prog. Cardiovasc. Dis. 63(5), 585–590 (2020).