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1 Ergebnisse
1
Machine learning identifies prominent factors associated wi..:
Jia-Xin Li
;
Li Li
;
Xuemei Zhong
...
https://doi.org/10.1186/s41256-022-00282-y. , 2022
Link:
https://doi.org/10.1186/s41256-022-00282-y
RT Journal T1
Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS)
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:fd669cd206984d568feba42d1763ff0c&Exemplar=1&LAN=DE A1 Jia-Xin Li A1 Li Li A1 Xuemei Zhong A1 Shu-Jun Fan A1 Tao Cen A1 Jianquan Wang A1 Chuanjiang He A1 Zhoubin Zhang A1 Ya-Na Luo A1 Xiao-Xuan Liu A1 Li-Xin Hu A1 Yi-Dan Zhang A1 Hui-Ling Qiu A1 Guang-Hui Dong A1 Xiao-Guang Zou A1 Bo-Yi Yang PB BMC YR 2022 K1 Cardiovascular disease (CVD) K1 Prediction K1 Prominent factors K1 Machine learning K1 Kashgar prefecture K1 Public aspects of medicine K1 RA1-1270 JF https://doi.org/10.1186/s41256-022-00282-y LK http://dx.doi.org/https://doi.org/10.1186/s41256-022-00282-y DO https://doi.org/10.1186/s41256-022-00282-y SF ELIB - SuUB Bremen
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