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Application of deep neural survival networks to the development of risk prediction models for diabetes mellitus, hypertension, and dyslipidemia.
Journal of Hypertension ( IF 4.9 ) Pub Date : 2023-12-14 , DOI: 10.1097/hjh.0000000000003626
Yoshinori Sasagawa 1 , Yosuke Inoue 2 , Katsuya Futagami 1 , Tomohiro Nakamura 1 , Kiyohiro Maeda 1 , Tomohiro Aoki 1 , Naoko Fukubayashi 1 , Mayumi Kimoto 1 , Tetsuya Mizoue 2 , Gakuse Hoshina 1
Affiliation  

: Although numerous risk prediction models have been proposed, few such models have been developed using neural network-based survival analysis. We developed risk prediction models for three cardiovascular disease risk factors (diabetes mellitus, hypertension, and dyslipidemia) among a working-age population in Japan using DeepSurv, a deep feed-forward neural network.

中文翻译:


应用深度神经生存网络开发糖尿病、高血压和血脂异常的风险预测模型。



:虽然已经提出了许多风险预测模型,但很少有使用基于神经网络的生存分析来开发这样的模型。我们使用 DeepSurv(一种深度前馈神经网络)针对日本劳动年龄人口中的三种心血管疾病危险因素(糖尿病、高血压和血脂异常)开发了风险预测模型。
更新日期:2023-12-14
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