摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者在北加州Chapel Hill的新闻报道，研究表明：“机器学习在医学评估中经常面临着一个根本性的难题，即小样本问题。M最近的任何研究都建议使用来自不同采集地点/中心的多领域数据来提高统计能力。”这项研究的财政支持者包括美国国立卫生研究院（NI H），阿尔茨海默病神经成像倡议(ADNI)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Chapel Hill, North Ca rolina, by NewsRx journalists, research stated, “Machine learning in medical ima ging often faces a fundamental dilemma, namely, the small sample size problem. M any recent studies suggest using multi-domain data pooled from different acquisi tion sites/centers to improve statistical power.” Financial supporters for this research include National Institutes of Health (NI H) - USA, Alzheimer’s Disease Neuroimaging Initiative (ADNI).
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