Integration of traditional Chinese medicine and machine learning:Opportunities,obstacles,and implications for future of healthcareOA
Integration of traditional Chinese medicine and machine learning:Opportunities,obstacles,and implications for future of healthcare
Xian Huang;Xue Liang;Hui Hwang Goh;Ting-ting He;Dong-dong Zhang;Wei Dai;Tonni Agustiono Kurniawan;Kai Chen Goh;Hin Yong Wong;Mohammad Tariqul Islam
First Affiliated Hospital of Guangxi University of Chinese Medicine,Nanning 530023,Guangxi Zhuang Autonomous Region,ChinaInstitute of High-end Equipment Manufacturing,Guangxi Academy of Science,Nanning 530007,Guangxi Zhuang Autonomous Region,ChinaSchool of Engineering,Taylor's University Lakeside Campus,47500 Subang Jaya,Selangor,MalaysiaSchool of Basic Medical Sciences,Guangxi Medical University,Nanning 530021,Guangxi Zhuang Autonomous Region,China||School of Electrical Engineering,Guangxi University,Nanning 530004,Guangxi Zhuang Autonomous Region,ChinaSchool of Renewable Energy,Inner Mongolia University of Technology,Hohhot 010051,Inner Mongolia Autonomous Region,ChinaSchool of Electrical Engineering,Guangxi University,Nanning 530004,Guangxi Zhuang Autonomous Region,ChinaCollege of the Environment and Ecology,Xiamen University,Xiamen 361102,Fujian Province,ChinaDepartment of Construction Management,Faculty of Technology Management and Business,Universiti Tun Hussein Onn Malaysia,86400 Batu Pahat,Johor,MalaysiaFaculty of Engineering,Multimedia University,63100 Cyberjaya,Selangor,MalaysiaFaculty of Engineering and Built Environment,Universiti Kebangsaan Malaysia,43600 Bangi,Selangor,Malaysia
Traditional Chinese medicineMachine learningPersonalised medicineArtificial intelligenceHealthcare
Traditional Chinese medicineMachine learningPersonalised medicineArtificial intelligenceHealthcare
《结合医学学报（英文版）》 2026 (3)
295-309,15
The research is financed by the Natural Science Foundation of Guangxi Zhuang Autonomous Region,China(No.2023GXNSF AA026056).
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