Integrating multi-task and cost-sensitive learning for predicting mortality risk of chronic diseases in the elderly using real-world data-Reference-Cited by-同舟云学术

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Integrating multi-task and cost-sensitive learning for predicting mortality risk of chronic diseases in the elderly using real-world data

Published:2024-11 Issue: Volume:191 Page:105567
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Cheng Aosheng,Zhang Yan,Qian Zhiqiang,Yuan Xueli,Yao Sumei,Ni Wenqing,Zheng Yijin,Zhang Hongmin,Lu Quan^ORCID,Zhao Zhiguang

Funder

Sanming Project of Medicine in Shenzhen

Chinese National Funding of Social Sciences

Publisher

Elsevier BV

Reference50 articles.

1. Geroscience: linking aging to chronic disease;Kennedy;Cell,2014

2. Ageing as a risk factor for disease;Niccoli;Curr. Biol.,2012

3. Comparison of 6 mortality risk scores for prediction of 1-year mortality risk in older adults with multimorbidity;Schneider;JAMA Netw Open.,2022

4. Effect on longevity of one-third reduction in premature mortality from non-communicable diseases by 2030: a global analysis of the sustainable development goal health target;Cao;Lancet Glob. Health.,2018

5. Defining comorbidity: implications for understanding health and health services;Valderas;Ann. Fam. Med.,2009

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