Use of Neural Network Model to Examine Post-Operative Infections Following Orthognathic Surgeries in the United States

The objective of this report is to identify predictors of systemic infections following orthognathic surgeries. We test the hypothesis Neural Network models are better at predicting infections compared to traditional analytical models while using a large number of predictor variables.
Source: Seminars in Orthodontics - Category: Dentistry Authors: Source Type: research
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