首页|Researchers from University of Texas Health Science Center Houston Describe Findings in Tooth Loss (Identifying Predictors of the Tooth Loss Phenotype In a Large Periodontitis Patient Cohort Using a Machine Learning Approach)

Researchers from University of Texas Health Science Center Houston Describe Findings in Tooth Loss (Identifying Predictors of the Tooth Loss Phenotype In a Large Periodontitis Patient Cohort Using a Machine Learning Approach)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Dental Diseases and Conditions - Tooth Loss have been published. According to news reporting originating in Houston, Texas, by NewsRx journalists, research stated, “This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting. Information on periodontitis patients and nineteen factors identified at the initial visit was extracted from electronic health records.”

HoustonTexasUnited StatesNorth and Central AmericaCyborgsDental Diseases and ConditionsDentistryEmerging TechnologiesGeneticsHealth and MedicineMachine LearningMouth Diseases and ConditionsPeriodontal Diseases and ConditionsPeriodontitisStomatognathic Diseases and ConditionsTooth Diseases and ConditionsTooth LossUniversity o f Texas Health Science Center Houston

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN：
年,卷(期)：2024.(Jun.12)