Bayesian network for predicting mandibular third molar extraction difficulty

Bayesian network for predicting mandibular third molar extraction difficulty

Abstract Background This study aimed to establish a model for predicting the difficulty of mandibular third molar extraction based on a Bayesian network to meet following requirements: (1) analyse the interaction of the primary risk factors; (2) output quantitative difficulty-evaluation results base...

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Bibliographic Details
Main Authors: Tian Meng, Zhiyong Zhang, Xiao Zhang, Chao Zhang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Oral Health
Subjects:
Tooth extraction
Artificial intelligence
Clinical decision-making
Risk assessment
Preoperative period
Intraoperative complications
Online Access:https://doi.org/10.1186/s12903-025-05432-5
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https://doi.org/10.1186/s12903-025-05432-5

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