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首页> 外文期刊>Robotics & Machine Learning Daily News >Shenzhen University School of Medicine Reports Findings in Major Depressive Disorder (Suicide risk stratification among major depressed patients based on a machine learning approach and wholebrain functional connectivity)
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Shenzhen University School of Medicine Reports Findings in Major Depressive Disorder (Suicide risk stratification among major depressed patients based on a machine learning approach and wholebrain functional connectivity)

机译:深圳大学医学院报告重度抑郁症研究结果(基于机器学习方法和全脑功能连接的重度抑郁症患者自杀风险分层)

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摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Major Depressive Disorder is the subject of a report. Accordingto news reporting originating from Guangdong, People’s Republic of China, by NewsRx correspondents,research stated, “Suicide risk stratification and individual-level prediction among major depressive disorder(MDD) is important but unrecognized. Here, we construct models to detect suicidality in MDD usingmachine learning (ML) and whole-brain functional connectivity (FC).”
机译:机器人技术与新闻记者新闻编辑机器学习日常重度抑郁症的研究报告的主题。来自广东、人民共和国中国NewsRx记者,“自杀风险分层和个人层面预测重度抑郁症是重要的但未被承认的。模型检测自杀在MDD中使用学习(毫升)和全脑功能连接(FC)。”

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