Uncovering Dental Caries Heterogeneity in NHANES Using Machine Learning.

Saved in:
Bibliographic Details
Title: Uncovering Dental Caries Heterogeneity in NHANES Using Machine Learning.
Authors: Orlenko A; Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA., Mure JD; School of Dental Medicine, University of Pennsylvania, Philadelphia, PA USA., Gluch JI; Department of Preventive and Restorative Sciences, University of Pennsylvania School of Dental Medicine, Philadelphia, PA, USA., Gregg J; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA., Compher CW; Biobehavioral Health Science Department, School of Nursing, University of Pennsylvania, Philadelphia, PA, USA.; Clinical Nutrition Support Services, Hospital of the University of Pennsylvania, Philadelphia, PA, USA., Ren Z; Center for Innovation & Precision Dentistry, School of Dental Medicine and School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA., Koo H; Center for Innovation & Precision Dentistry, School of Dental Medicine and School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA., Moore JH; Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA.
Source: Journal of dental research [J Dent Res] 2026 Jul; Vol. 105 (8), pp. 1031-1040. Date of Electronic Publication: 2025 Dec 09.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: United States NLM ID: 0354343 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1544-0591 (Electronic) Linking ISSN: 00220345 NLM ISO Abbreviation: J Dent Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first