文献
J-GLOBAL ID:202202278977608038
整理番号:22A0752079
韓国人集団における低密度リポ蛋白質コレステロールを推定するための機械学習法と種々の方程式の比較【JST・京大機械翻訳】
Comparison of a Machine Learning Method and Various Equations for Estimating Low-Density Lipoprotein Cholesterol in Korean Populations
著者 (5件):
Kwon Yu-Jin
(Department of Family Medicine, Yonsei University College of Medicine, Yongin Severance Hospital, Yongin, South Korea)
,
Lee Hyangkyu
(Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, South Korea)
,
Baik Su Jung
(Healthcare Research Team, Health Promotion Center, Gangnam Severance Hospital, Seoul, South Korea)
,
Chang Hyuk-Jae
(Department of Internal Medicine, Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea)
,
Lee Ji-Won
(Department of Family Medicine, Yonsei University College of Medicine, Gangnam Severance Hospital, Seoul, South Korea)
資料名:
Frontiers in Cardiovascular Medicine (Web)
(Frontiers in Cardiovascular Medicine (Web))
巻:
9
ページ:
824574
発行年:
2022年
JST資料番号:
U7061A
ISSN:
2297-055X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)