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Developing Predictive Models for Periodontitis Progression Using Artificial Intelligence: A Longitudinal Cohort Study
DOI:10.1111/jcpe.14194.png)
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
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
IF:
6.8
论文数:
4.8K
被引数:
2.2W
机构
引用论文
Influence of residual pockets on progression of periodontitis and tooth loss:: Results after 11 years of maintenance残留凹窝对牙周炎和牙齿脱落进展的影响:: 维持11年后的结果
Gingival Crevicular Fluid Biomarkers During Periodontitis Progression and After Periodontal Treatment牙周炎进展期间和牙周治疗后的龈沟液生物标志物
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
Developing Automated Computer Algorithms to Track Periodontal Disease Change from Longitudinal Electronic Dental Records
DIAGNOSTICS
IF3.3

