文献
J-GLOBAL ID:202202287834358318
整理番号:22A1029229
機械学習技術に基づく腎移植患者に対する免疫抑制薬非遵守の予測モデル【JST・京大機械翻訳】
Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning Technology
著者 (10件):
Zhu Xiao
(Nursing Department of Third Xiangya Hospital of Central South University, Changsha, China)
,
Zhu Xiao
(Research Center of Chinese Health Ministry on Transplantation Medicine Engineering and Technology, The Third Xiangya Hospital, Central South University, Changsha, China)
,
Peng Bo
(Research Center of Chinese Health Ministry on Transplantation Medicine Engineering and Technology, The Third Xiangya Hospital, Central South University, Changsha, China)
,
Yi QiFeng
(Nursing School of Central South University, Changsha, China)
,
Yi QiFeng
(Nursing Department of Third Xiangya Hospital of Central South University, Changsha, China)
,
Liu Jia
(Nursing School of Central South University, Changsha, China)
,
Liu Jia
(Nursing Department of Third Xiangya Hospital of Central South University, Changsha, China)
,
Liu Jia
(Research Center of Chinese Health Ministry on Transplantation Medicine Engineering and Technology, The Third Xiangya Hospital, Central South University, Changsha, China)
,
Yan Jin
(Nursing School of Central South University, Changsha, China)
,
Yan Jin
(Nursing Department of Third Xiangya Hospital of Central South University, Changsha, China)
資料名:
Frontiers in Medicine (Web)
(Frontiers in Medicine (Web))
巻:
9
ページ:
796424
発行年:
2022年
JST資料番号:
U7079A
ISSN:
2296-858X
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)