Development of an explainable machine learning asthma prediction model using serum brominated flame retardants in a national population.
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| Title: | Development of an explainable machine learning asthma prediction model using serum brominated flame retardants in a national population. |
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| Authors: | Pan X; Graduate School, Beijing University of Chinese Medicine, Beijing, China.; The Second Clinical Medical College of Beijing University of Chinese Medicine, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China., Wang Q; Graduate School, Beijing University of Chinese Medicine, Beijing, China.; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China., Li C; Center for Evidence-Based Medicine, Capital Institute of Pediatrics, 2 Yabao Road, Chaoyang District, Beijing, China.; Center for Evidence-Based Medicine, Capital Center for Children's Health, Capital Medical University, Beijing, China., Huang J; Graduate School, Beijing University of Chinese Medicine, Beijing, China.; The Second Clinical Medical College of Beijing University of Chinese Medicine, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China., Wu L; Department of Pediatrics, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China. wulq1211@163.com., Niu W; Center for Evidence-Based Medicine, Capital Institute of Pediatrics, 2 Yabao Road, Chaoyang District, Beijing, China. niuwenquan_shcn@163.com.; Center for Evidence-Based Medicine, Capital Center for Children's Health, Capital Medical University, Beijing, China. niuwenquan_shcn@163.com. |
| Source: | Clinical and experimental medicine [Clin Exp Med] 2025 Oct 25; Vol. 25 (1), pp. 321. Date of Electronic Publication: 2025 Oct 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 100973405 Publication Model: Electronic Cited Medium: Internet ISSN: 1591-9528 (Electronic) Linking ISSN: 15918890 NLM ISO Abbreviation: Clin Exp Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1591-9528 |
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| DOI: | 10.1007/s10238-025-01849-y |
