作者
Sharen Lee, Jiandong Zhou, Keith Sai Kit Leung, William Ka Kei Wu, Wing Tak Wong, Tong Liu, Ian Chi Kei Wong, Kamalan Jeevaratnam, Qingpeng Zhang, Gary Tse
发表日期
2021/6/1
期刊
BMJ Open Diabetes Research and Care
卷号
9
期号
1
页码范围
e001950
出版商
BMJ Specialist Journals
简介
Introduction
Patients with diabetes mellitus are risk of premature death. In this study, we developed a machine learning-driven predictive risk model for all-cause mortality among patients with type 2 diabetes mellitus using multiparametric approach with data from different domains.
Research design and methods
This study used territory-wide data of patients with type 2 diabetes attending public hospitals or their associated ambulatory/outpatient facilities in Hong Kong between January 1, 2009 and December 31, 2009. The primary outcome is all-cause mortality. The association of risk variables and all-cause mortality was assessed using Cox proportional hazards models. Machine and deep learning approaches were used to improve overall survival prediction and were evaluated with fivefold cross validation method.
Results
A total of 273 678 patients (mean age: 65.4±12.7 years, male: 48.2%, median follow-up: 142 …
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S Lee, J Zhou, KSK Leung, WKK Wu, WT Wong, T Liu… - BMJ Open Diabetes Research and Care, 2021