AIMC Topic: Tooth Mobility

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Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach.

Journal of dentistry Mar 2, 2024
OBJECTIVES: This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting.
Humans Machine Learning Algorithms Phenotype Electronic Health Records Female Risk Factors Aged Adult Male Middle Aged Cohort Studies ROC Curve Periodontitis Area Under Curve Tooth Mobility Tooth Loss Furcation Defects
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Applying Deep Learning to Understand Predictors of Tooth Mobility Among Urban Latinos.

Studies in health technology and informatics Jan 1, 2018
We applied deep learning algorithms to build correlate models that predict tooth mobility in a convenience sample of urban Latinos. Our application of deep learning identified age, general health, soda consumption, flossing, financial stress, and yea...
Humans Machine Learning Algorithms Forecasting Urban Population Self Report Hispanic or Latino Health Behavior Tooth Mobility
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