Ohcanbohtosat - "The Light in the Forest"

Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques Dahkki Qianqian Zhao, Zhuyifan Ye, Yan Su, Defang Ouyang

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Predicting Adverse Drug Events in Chinese Pediatric Inpatients With the Associated Risk Factors: A Machine Learning Study Dahkki Ze Yu, Huanhuan Ji, Jianwen Xiao, Ping Wei, Lin Song, Tingting Tang, Xin Hao, Jinyuan Zhang, Qiaona Qi, Yuchen Zhou, Fei Gao, Yuntao Jia

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A Risk-Factor Model for Antineoplastic Drug-Induced Serious Adverse Events in Cancer Inpatients: A Retrospective Study Based on the Global Trigger Tool and Machine Learning Dahkki Ni Zhang, Ni Zhang, Ling-Yun Pan, Wan-Yi Chen, Huan-Huan Ji, Gui-Qin Peng, Zong-Wei Tang, Hui-Lai Wang, Yun-Tao Jia, Yun-Tao Jia, Jun Gong

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A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer Dahkki Li Ding, Kun Wang, Chi Zhang, Yang Zhang, Kanlirong Wang, Wang Li, Junqi Wang

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An explainable artificial intelligence framework for risk prediction of COPD in smokers Dahkki Xuchun Wang, Yuchao Qiao, Yu Cui, Hao Ren, Ying Zhao, Liqin Linghu, Jiahui Ren, Zhiyang Zhao, Limin Chen, Lixia Qiu

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