Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data

Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data

Despite advances in periodontal disease (PD) research and periodontal treatments, 42% of the US population suffer from periodontitis. PD can be prevented if high-risk patients are identified early to provide preventive care. Prediction models can help assess risk for PD before initiation and progres...

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Bibliographic Details
Main Authors: Jay S. Patel, Chang Su, Marisol Tellez, Jasim M. Albandar, Rishi Rao, Vishnu Iyer, Evan Shi, Huanmei Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Artificial Intelligence
Subjects:
dental informatics
prediction model
electronic dental record
electronic health record
XGBoost
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.979525/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.979525/full

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