Exploring Explainable Machine Learning for Predicting and Interpreting Self-Reported Diabetes among Tennessee Adults: Insights from the 2023 Behavioral Risk Factor Surveillance System (BRFSS).
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| Title: | Exploring Explainable Machine Learning for Predicting and Interpreting Self-Reported Diabetes among Tennessee Adults: Insights from the 2023 Behavioral Risk Factor Surveillance System (BRFSS). |
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| Authors: | Muhammad MA; Biostatistics and Epidemiology Department, College of Public Health, East Tennessee State University, Johnson City, Tennessee, USA., Sani J; Department of Demography and Social Statistics, Federal University Birnin Kebbi, Birnin Kebbi, Kebbi State, Nigeria., Ahmed MM; Faculty of Medicine and Health Sciences, SIMAD University, Mogadishu, Somalia. |
| Source: | Journal of primary care & community health [J Prim Care Community Health] 2025 Jan-Dec; Vol. 16, pp. 21501319251400546. Date of Electronic Publication: 2025 Dec 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Sage Publications Country of Publication: United States NLM ID: 101518419 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2150-1327 (Electronic) Linking ISSN: 21501319 NLM ISO Abbreviation: J Prim Care Community Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2150-1327 |
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| DOI: | 10.1177/21501319251400546 |
