Periodontal profile classes predict periodontal disease progression and tooth loss-Reference-Cited by-同舟云学术

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Periodontal profile classes predict periodontal disease progression and tooth loss

Published:2018-02 Issue:2 Volume:89 Page:148-156
ISSN:0022-3492
Container-title:Journal of Periodontology
language:en
Short-container-title:J Periodontol

Author:

Morelli Thiago¹²,Moss Kevin L.²,Preisser John S.³⁴,Beck James D.²⁴,Divaris Kimon⁵⁶,Wu Di¹,Offenbacher Steven¹²

Affiliation:

1. Department of Periodontology; School of Dentistry; University of North Carolina at Chapel Hill; Chapel Hill NC

2. Center for Oral and Systemic Diseases; School of Dentistry; University of North Carolina at Chapel Hill

3. Department of Biostatistics; Gillings School of Global Public Health; University of North Carolina at Chapel Hill

4. Department of Dental Ecology; School of Dentistry; University of North Carolina at Chapel Hill

5. Department of Pediatric Dentistry; School of Dentistry; University of North Carolina at Chapel Hill

6. Department of Epidemiology; Gillings School of Global Public Health; University of North Carolina at Chapel Hill

Funder

National Institute of Dental and Craniofacial Research

Publisher

Wiley

Subject

Periodontics

Reference26 articles.

1. A new initiative on precision medicine;Collins;N Engl J Med,2015

2. Precision phenotyping, panomics, and system-level bioinformatics to delineate complex biologies of atherosclerosis: rationale and design of the “genetic loci and the burden of atherosclerotic lesions” study;Voros;J Cardiovasc Comput Tomogr,2014

3. The precision medicine initiative's all of us research program: an agenda for research on its ethical, legal, and social issues;Sankar;Genet Med,2017

4. Data science at the national institute of dental and craniofacial research: changing dental practice;Kusiak;J Am Dent Assoc,2016

5. Genome-wide association study of biologically informed periodontal complex traits offers novel insights into the genetic basis of periodontal disease;Offenbacher;Hum Mol Genet,2016

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2. Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach;Journal of Dentistry;2024-05

3. Contesting the conventional wisdom of periodontal risk assessment;Community Dentistry and Oral Epidemiology;2024-01-19

4. Association between periodontal disease and heart failure: a systematic review and meta-analysis;Acta Cardiologica;2023-09-28

5. Identifying predictors of tooth loss using a rule‐based machine learning approach: A retrospective study at university‐setting clinics;Journal of Periodontology;2023-05-06

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