Machine learning-based prediction of nasopharyngeal carcinoma risk: a clinical approach.
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| Title: | Machine learning-based prediction of nasopharyngeal carcinoma risk: a clinical approach. |
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| Authors: | Yang W; Department of Laboratory Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China., Zhou C; Department of Dermatology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China., Tang M; Key Laboratory of Nasopharyngeal Carcinoma Molecular Epidemiology, Wuzhou Red Cross Hospital, Wuzhou, Guangxi Zhuang Autonomous Region, China., Huang Z; Department of Laboratory Medicine, The First People's Hospital of Fangchenggang City, Fangchenggang, Guangxi Zhuang Autonomous Region, China., Zhu H; Department of Laboratory Medicine, The People's Hospital of Yongning District, Nanning, Guangxi Zhuang Autonomous Region, China., Li S; Department of Laboratory Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China., Huang H; Department of Laboratory Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China., Liang Y; Department of Laboratory Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China., Pan W; Department of Laboratory Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China., Yuan Y; Department of Laboratory Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China. |
| Source: | Frontiers in immunology [Front Immunol] 2025 Nov 27; Vol. 16, pp. 1648648. Date of Electronic Publication: 2025 Nov 27 (Print Publication: 2025). |
| Publication Type: | Evaluation Study; Journal Article; Validation Study |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-3224 |
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| DOI: | 10.3389/fimmu.2025.1648648 |
