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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41364117
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Uncovering Dental Caries Heterogeneity in NHANES Using Machine Learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Orlenko+A%22">Orlenko A</searchLink>; Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA.<br /><searchLink fieldCode="AU" term="%22Mure+JD%22">Mure JD</searchLink>; School of Dental Medicine, University of Pennsylvania, Philadelphia, PA USA.<br /><searchLink fieldCode="AU" term="%22Gluch+JI%22">Gluch JI</searchLink>; Department of Preventive and Restorative Sciences, University of Pennsylvania School of Dental Medicine, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Gregg+J%22">Gregg J</searchLink>; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Compher+CW%22">Compher CW</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ren+Z%22">Ren Z</searchLink>; Center for Innovation & Precision Dentistry, School of Dental Medicine and School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Koo+H%22">Koo H</searchLink>; Center for Innovation & Precision Dentistry, School of Dental Medicine and School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Moore+JH%22">Moore JH</searchLink>; Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220354343%22">Journal of dental research</searchLink> [J Dent Res] 2026 Jul; Vol. 105 (8), pp. 1031-1040. <i>Date of Electronic Publication: </i>2025 Dec 09.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage%22">Sage </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0354343 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1544-0591 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200220345%22">00220345 </searchLink><i>NLM ISO Abbreviation: </i>J Dent Res <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41364117
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/00220345251398027
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1031
    Titles:
      – TitleFull: Uncovering Dental Caries Heterogeneity in NHANES Using Machine Learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Orlenko A
      – PersonEntity:
          Name:
            NameFull: Mure JD
      – PersonEntity:
          Name:
            NameFull: Gluch JI
      – PersonEntity:
          Name:
            NameFull: Gregg J
      – PersonEntity:
          Name:
            NameFull: Compher CW
      – PersonEntity:
          Name:
            NameFull: Ren Z
      – PersonEntity:
          Name:
            NameFull: Koo H
      – PersonEntity:
          Name:
            NameFull: Moore JH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2026 Jul
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1544-0591
          Numbering:
            – Type: volume
              Value: 105
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Journal of dental research
              Type: main
ResultId 1