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Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy

Crossref DOI link: https://doi.org/10.1038/s41598-025-88693-y

Published Online: 2025-02-13

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

Authors

Han, Jiye

Kim, Yunha

Kang, Hee Jun

Seo, Jiahn

Choi, Heejung

Kim, Minkyoung

Kee, Gaeun

Park, Seohyun

Ko, Soyoung

Jung, HyoJe

Kim, Byeolhee

Jun, Tae Joon

Kim, Young-Hak
Funding

Funding for this research was provided by:

Korea government (1711195603, 1711195603, 1711195603, 1711195603, 1711195603)

Korea Health Industry Development Institute (HR20C0026, HR20C0026, HR20C0026, HR20C0026, HR20C0026, HR20C0026)
License Information

Text and Data Mining valid from 2025-02-13

Version of Record valid from 2025-02-13
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Article History

Received: 4 June 2024

Accepted: 30 January 2025

First Online: 13 February 2025

Declarations

:

: The authors declare no competing interests.

: RFE, the recursive feature elimination; XGBoost, extreme gradient boosting;

: Tables:

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