Application of machine learning for diagnostic prediction of root caries-Reference-Cited by-同舟云学术

Application of machine learning for diagnostic prediction of root caries

Published:2019-07-05 Issue:4 Volume:36 Page:395-404
ISSN:0734-0664
Container-title:Gerodontology
language:en
Short-container-title:Gerodontology

Author:

Hung Man¹²³⁴⁵^ORCID,Voss Maren W.²,Rosales Megan N.²,Li Wei⁴,Su Weicong²,Xu Julie²,Bounsanga Jerry²,Ruiz‐Negrón Bianca²,Lauren Evelyn²,Licari Frank W.¹^ORCID

Affiliation:

1. Roseman University of Health Sciences College of Dental Medicine South Jordan Utah

2. Department of Orthopaedic Surgery Operations University of Utah Salt Lake City Utah

3. Study Design and Biostatistics Center University of Utah Salt Lake City Utah

4. Department of Family and Preventive Medicine University of Utah Salt Lake City Utah

5. Huntsman Cancer Institute Salt Lake City Utah

Funder

National Center for Research Resources

National Center for Advancing Translational Sciences

Publisher

Wiley

Subject

Geriatrics and Gerontology,General Dentistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ger.12432

Reference48 articles.

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4. DentalN.Caries (Tooth Decay) in Adults (Age 20 to 64). National Insitute of Dental and Orofacial Research;2018.https://www.nidcr.nih.gov/research/data-statistics/dental-caries/adults#table1. Accessed May 29 2018.

5. Prevalence of Periodontitis in Adults in the United States: 2009 and 2010

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