首页|Chongqing Medical University Reports Findings in Support Vector Machines (Robust Radiomics Models for Predicting HIFU Prognosis in Uterine Fibroids Using SHAP E xplanations: A Multicenter Cohort Study)
Chongqing Medical University Reports Findings in Support Vector Machines (Robust Radiomics Models for Predicting HIFU Prognosis in Uterine Fibroids Using SHAP E xplanations: A Multicenter Cohort Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning - Sup port Vector Machines is the subject of areport. According to news reporting out of Chongqing, People’s Republic of China, by NewsRx editors,research stated, “ This study sought to develop and validate different machine learning (ML) modelsthat leverage non-contrast MRI radiomics to predict the degree of nonperfusion volume ratio (NVPR) ofhigh-intensity focused ultrasound (HIFU) treatment for ut erine fibroids, equipping clinicians with an earlyprediction tool for decision- making. This study conducted a retrospective analysis on 221 patients withuteri ne fibroids who received HIFU treatment and were divided into a training set (N = 117), internalvalidation (N = 49), and an external test set (N = 55).”
ChongqingPeople’s Republic of ChinaA siaClinical ResearchClinical Trials and StudiesHealth and MedicineMachin e LearningSupport Vector Machines
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