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Developing Predictive Models for Periodontitis Progression Using Artificial Intelligence: A Longitudinal Cohort Study

delete2025-08-19
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OA
AI
C
Camila Pinheiro Furquim
L
Lannawill Caruth
G
Ganesh Chandrasekaran
A
Andrew J. Cucchiara
M
Michael J. Kallan
L
Lynn Martin
M
Magda Feres
K
Kyle Bittinger
K
Kimon Divaris
J
Joseph Glessner
A
Alpdoğan Kantarcı
W
William V. Giannobile
S
Shefali S. Verma *
F
Flavia Teles *
DOI:10.1111/jcpe.14194delete
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摘要

摘要

En 中文
通过将机器学习(ML)应用于牙周炎进展研究中的基线数据,构建牙周炎进展的预测模型。
Keyword:
artificial intelligence
disease progression
machine learning
periodontitis
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Journal of Clinical Periodontology 封面图
Journal of Clinical Periodontology
IF:
6.8
论文数:
4.8K
被引数:
2.2W

机构

U
university of north carolina
学者数:
7.4W
论文数: 6.5W
被引数: 93
U
university of pennsylvania
学者数:
9.2W
论文数: 7.8W
被引数: 153
引用论文

引用论文

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A personalized periodontitis risk based on nonimage electronic dental records by machine learning基于非影像电子牙科记录的个性化牙周炎风险机器学习方法
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errPatel, Jay S.; Kumar, Krishna; Zai, Ahad; Shin, Daniel; Willis, Lisa; Thyvalikakath, Thankam P.
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errMorelli, Thiago; Moss, Kevin L.; Preisser, John S.; Beck, James D.; Divaris, Kimon; Wu, Di; Offenbacher, Steven
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