A machine learning approach with SHAP interpretability for classifying drug craving levels.
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| Title: | A machine learning approach with SHAP interpretability for classifying drug craving levels. |
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| Authors: | Zeng W; Clinical Medical College, Hunan University of Chinese Medicine, Changsha, Hunan, China.; The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, Hunan, China., Liu F; The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, Hunan, China., Liang T; The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, Hunan, China.; College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China., Zhao C; Clinical Medical College, Hunan University of Chinese Medicine, Changsha, Hunan, China.; The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, Hunan, China., Liu X; The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, Hunan, China., Yang P; The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, Hunan, China. |
| Source: | Frontiers in public health [Front Public Health] 2026 May 11; Vol. 14, pp. 1752380. Date of Electronic Publication: 2026 May 11 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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