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A deep learning model for early risk prediction of heart failure with preserved ejection fraction by DNA methylation profiles combined with clinical features

Crossref DOI link: https://doi.org/10.1186/s13148-022-01232-8

Published Online: 2022-01-19

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhao, Xuetong

Sui, Yang

Ruan, Xiuyan

Wang, Xinyue

He, Kunlun

Dong, Wei

Qu, Hongzhu

Fang, Xiangdong https://orcid.org/0000-0002-6628-8620
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2018YFC0910700, 2020YFC2003400, 2016YFC0901700, 2017YFC0907400)

“Science and Technology Service Network Initiative” Project of the Chinese Academy of Sciences (KFJ-STS-ZDTP-060)
License Information

Text and Data Mining valid from 2022-01-19

Version of Record valid from 2022-01-19
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Article History

Received: 30 September 2021

Accepted: 7 January 2022

First Online: 19 January 2022

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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