Risk Prediction in Patients With Heart Failure With Preserved Ejection Fraction Using Gene Expression Data and Machine Learning.

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作者： Liye,Zhou ^[1] ; Zhifei,Guo ^[1] ; Bijue,Wang ^[1] ; Yongqing,Wu ^[2] ; Zhi,Li ^[3] ; Hongmei,Yao ^[4] ; Ruiling,Fang ^[2] ; Haitao,Yang ^[5] ; Hongyan,Cao ^[2] ; Yuehua,Cui ^[6]

作者单位： Division of Health Management, School of Management, Shanxi Medical University, Taiyuan, China. ^[1] Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China. ^[2] Department of Hematology, Taiyuan Central Hospital of Shanxi Medical University, Taiyuan, China. ^[3] Department of Cardiology, First Hospital of Shanxi Medical University, Taiyuan, China. ^[4] Division of Health Statistics, School of Public Health, Hebei Medical University, Shijiazhuang, China. ^[5] Key Laboratory of Major Disease Risk Assessment, Shanxi Medical University, Taiyuan, China. ^[6] Department of Statistics and Probability, Michigan State University, East Lansing, MI, United States. ^[7]

关键词 genetic algorithm heart failure with preserved ejection fraction kernel partial least squares machine learning risk prediction

DOI 10.3389/fgene.2021.652315

PMID 33828587

发布时间 2022-02-08

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Frontiers in genetics

2021年12卷

652315页

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Risk Prediction in Patients With Heart Failure With Preserved Ejection Fraction Using Gene Expression Data and Machine Learning.

Frontiers in genetics

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Frontiers in genetics

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Risk Prediction in Patients With Heart Failure With Preserved Ejection Fraction Using Gene Expression Data and Machine Learning.

Frontiers in genetics

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Frontiers in genetics

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