Oral and general health-related predictions using machine learning algorithms

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Tohoku University, Sendai, Muthuthanthrige Cooray will hold an oral session “Oral and General Health Association Using Machine Learning Prediction Algorithms” at the 99th Virtual General Session and Exhibition held in collaboration with the International Association for Dental Research (IADR). Announced. The 50th Annual Meeting of the American Dental Research Society (AADR) and the 45th Annual Meeting of the Canadian Dental Research Society (CADR), held July 21-24, 2021.

With general health Oral hygiene Traditionally, it was treated as a separate entity in healthcare delivery, but in most cases General health And Oral hygiene problems They share common risk factors and both affect overall well-being. This study used machine learning predictions to investigate the robustness of the association between general health and oral health.

The analysis included 19,862 participants in the Japanese Gerontology Assessment Study 2016 over the age of 65. XGBoost machine learning algorithms are used to predict self-assessed oral health using common health-related predictors (weakness, psychological state, comorbidities), and oral health-related predictors (occlusal) Predicted general health self-assessed using poor, hard to chew, dry mouth). .. Age, gender, Household income And smoking were added as common predictors of both models. Predictors were selected based on literature and availability.

The prevalence of low self-assessment of oral hygiene was higher (28.6%) than general health status with low self-assessment (12.4%). 20.6% of people with poor oral health by self-assessment reported poor general health by self-assessment, but 47.7% of people with poor general health by self-assessment also reported poor health by self-assessment. I reported that my oral health was poor.

As shown by the accurate predictive model, there was a robust general health to oral health and an association of oral health to general health. Oral health appeared to be more predictive in predicting general health than in general health in predicting oral health. General health and oral health factors should be considered together when planning health care for the elderly.

Indigenous Oral Hygiene Inequality Begins in Childhood: Multilateral Studies

Provided by International and American Associations for Dental Research

Quote: Https: // using the machine learning algorithm (July 21, 2021) obtained on July 21, 2021 Oral and general health-related predictions

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Oral and general health-related predictions using machine learning algorithms

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