A hierarchical and interpretable machine learning model for acupoint determinationOA
A hierarchical and interpretable machine learning model for acupoint determination
Hang Yang;Ren Wu;Mitsuru Nakata;Qi-wei Ge
The Graduate School of East Asian Studies,Yamaguchi University,Yamaguchi-shi 753-8514,Yamaguchi,JapanFaculty of Information Science,Shunan University,Shunan-shi 745-8566,Yamaguchi,JapanFaculty of Education,Yamaguchi University,Yamaguchi-shi 753-8513,Yamaguchi,JapanYamaguchi University,Yamaguchi-shi 753-8511,Yamaguchi,Japan
Machine learningAcupuncture and moxibustionAcupoint prescriptionHierarchical classification
Machine learningAcupuncture and moxibustionAcupoint prescriptionHierarchical classification
《结合医学学报（英文版）》 2026 (3)
340-351,12
This work was supported by Grants-in-Aid for Scientific Research(KAKENHI)from JSPS(No.23K20390)and Support for Pioneering Research Initiated by the Next Generation(SPRING)from JST(No.JPMJSP2111).
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