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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)

National Key Research and Development Program of China (2020YFC2003400)

National Key Research and Development Program of China (2016YFC0901700)

National Key Research and Development Program of China (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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