A machine learning based decision tree analysis of influential factor for the number of remaining teeth in Korean adults-Reference-Cited by-同舟云学术

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A machine learning based decision tree analysis of influential factor for the number of remaining teeth in Korean adults

Published:2023-03-31 Issue:1 Volume:47 Page:26-31
ISSN:1225-388X
Container-title:Journal of Korean Academy of Oral Health
language:en
Short-container-title:J Korean Acad Oral Health

Author:

Hwang Su-Yeon¹^ORCID,Park Jung-Eun²^ORCID

Affiliation:

1. Department of Dental Hygiene, Daejeon Institute of Science and Technology, Daejeon, Korea

2. Department of Dental Hygiene, College of Health Science, Dankook University, Cheonan, Korea

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Publisher

The Korean Academy of Preventive Dentistry and Oral Health

Subject

General Medicine

Link

http://pdf.medrang.co.kr/JKAOH2/2023/047/JKAOH047-01-26.pdf

Reference30 articles.

1. Oral health conditions and frailty in Mexican community-dwelling elderly: a cross sectional analysis

2. A Study on Denture Satisfaction in Rural Elderly People

3. Petersen PE, Kandelman D, Arpin S, Ogawa H. Global oral health of older people-call for public health action. Community Dent Health 2010;27:257-267.

4. Improving the oral health of older people: the approach of the WHO Global Oral Health Programme

5. Number of remaining teeth and its association with socioeconomic status in South Korean adults: Data from the Korean National Health and Nutrition Examination Survey 2012-2013

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