...
首页> 外文期刊>Robotics & Machine Learning Daily News >Second Affiliated Hospital of Soochow University Reports Findings in Parkinson’s Disease (Machine Learning Models for Diagnosis of Parkinson’s Disease Using Multiple Structural Magnetic Resonance Imaging Features)
【24h】

Second Affiliated Hospital of Soochow University Reports Findings in Parkinson’s Disease (Machine Learning Models for Diagnosis of Parkinson’s Disease Using Multiple Structural Magnetic Resonance Imaging Features)

机译:苏州大学第二附属医院报告发现在帕金森病(机器学习模型对帕金森病的诊断疾病使用多个结构磁磁共振成像特性)

获取原文
获取原文并翻译 | 示例

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Neurodegenerative Diseases and Conditions - Parkinson’s Disease is the subject of a report. According to news originating from Suzhou, People’s Republic of China, by NewsRx correspondents, research stated, “This study aimed to develop machine learning models for the diagnosis of Parkinson’s disease (PD) using multiple structural magnetic resonance imaging (MRI) features and validate their performance. Brain structural MRI scans of 60 patients with PD and 56 normal controls (NCs) were enrolled as development dataset and 69 patients with PD and 71 NCs from Parkinson’s Progression Markers Initiative (PPMI) dataset as independent test dataset.”
机译:机器人技术与新闻记者新闻编辑机器学习每日新闻每日新闻——新对神经退行性疾病的研究条件——帕金森病的报告。苏州、中华人民共和国、NewsRx记者,研究表示,“这项研究旨在开发机器学习模型诊断帕金森病(PD)的使用多个结构磁共振成像(MRI)特性和验证他们的表现。大脑结构60 PD患者的MRI扫描56正常对照组(nc)登记开发数据集和PD患者和6971 nc帕金森进展标记计划(PPMI)数据集作为独立的测试数据集。”

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号