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  • Development and Validation of an Ultrasonography-Based Machine Learning Model for Predicting Outcomes of Bruxism Treatments.
    Diagnostics (Basel, Switzerland) 2024 Orhan K 🟢 PMC 🆕 신규 PMID: 38893684 ↗

    TL;DRA machine learning model is introduced using SVM analysis on ultrasound (USG) images for bruxism patients, which can detect masseter muscle changes on USG and showed the combined ML models can also predict the outcome of…

    …2 to 0.986 for the training data and from 0.394 to 0.848 for the test data. The Support Vector Machine (SVM) led to excellent discrimination between bruxism and normal patients from …

    키워드: Support Vector Machine (초록)