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Combining H2O auto-ML and traditional machine learning for the resource evaluation on non-medicinal parts of plants: taking Coptis deltoidea as an example.

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第一作者： Yu-Gang,Ding

第一单位： College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China; State Key Laboratory of Traditional Chinese Medicine Processing Technology, State Administration of Traditional Chinese Medicine, No. 1166, Wenjiang District, Chengdu, 611137, China.

作者： Yu-Gang,Ding ^[1] ; Li-Qi,Feng ^[1] ; Zhi-Nuo,Zhang ^[1] ; Na,Li ^[1] ; You-Mi,Huang ^[1] ; Zhong-Xiang,Tang ^[1] ; Fei,Li ^[2] ; Xiao-Dong,Huang ^[2] ; Lu-Ming,Qi ^[3] ; Yun-Tong,Ma ^[4]

作者单位： College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China; State Key Laboratory of Traditional Chinese Medicine Processing Technology, State Administration of Traditional Chinese Medicine, No. 1166, Wenjiang District, Chengdu, 611137, China. ^[1] Sichuan Institute of Geological Engineering Investigation Group Co. Ltd, Jinniu District, Chengdu, 610036, China. ^[2] Health and Rehabilitation College, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China. Electronic address: lmqi_tcm@126.com. ^[3] College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China; State Key Laboratory of Traditional Chinese Medicine Processing Technology, State Administration of Traditional Chinese Medicine, No. 1166, Wenjiang District, Chengdu, 611137, China. Electronic address: mayuntong@cdutcm.edu.cn. ^[4]

关键词 Coptis deltoidea Element analysis H2O automated machine learning Non-medicinal parts