Robotics & Machine Learning Daily News2024,Issue(Nov.28) :54-54.

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)

重庆医科大学支持向量研究报告用于预测HIFU预后的稳健放射组学模型SHAP E刀治疗子宫肌瘤的多中心临床研究队列研究

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :54-54.

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)

重庆医科大学支持向量研究报告用于预测HIFU预后的稳健放射组学模型SHAP E刀治疗子宫肌瘤的多中心临床研究队列研究

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究-支持向量机是一个新的课题报告根据NewsRx编辑在重庆的新闻报道,研究表明:“这项研究试图开发和验证不同的机器学习(ML)模型利用非增强MRI放射组学预测乳腺癌非灌注体积比(NVPR)的程度高强度聚焦超声(HIFU)治疗子宫肌瘤的临床应用决策的预测工具。本研究对221例老年痴呆患者进行了回顾性分析接受HIFU治疗的子宫肌瘤患者被分为训练组(N=117)、内部治疗组、验证(N=49)和外部测试集(N=55)。

Abstract

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).”

Key words

Chongqing/People’s Republic of China/A sia/Clinical Research/Clinical Trials and Studies/Health and Medicine/Machin e Learning/Support Vector Machines

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文