SHAP based predictive modeling for 1 year all-cause readmission risk in elderly heart failure patien...
SHAP based predictive modeling for 1 year all-cause readmission risk in elderly heart failure patients: feature selection and model interpretation
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Author / Creator
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 and Yue, Rongchuan
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Heart failure (HF) is a significant global public health concern with a high readmission rate, posing a serious threat to the health of the elderly population. While several studies have used machine learning (ML) to develop all-cause readmission risk prediction models for elderly patients with HF, few have integrated ML-selected features with thos...
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Full title
SHAP based predictive modeling for 1 year all-cause readmission risk in elderly heart failure patients: feature selection and model interpretation
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TN_cdi_doaj_primary_oai_doaj_org_article_f9179d4e3c4a4632bb540c18c5af2475
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f9179d4e3c4a4632bb540c18c5af2475
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-67844-7
