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Updated: Jul 4, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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可解释的机器学习分类来识别育儿母亲中的弱势群体:基于Web的横截面问卷研究

Akiko Hanai1,2,3, Tetsuo Ishikawa1,2,3,4, Shoko Sugao5

  • 1Medical Data Mathematical Reasoning Team, Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Japan.

JMIR formative research
|February 7, 2024
PubMed
概括

育儿弹性有所不同,影响到母亲的心理社会福祉. 一个机器学习分类器发现脆弱的母亲经历了更高的抑郁情绪,结合问题和睡眠质量差的比率.

关键词:
适应 适应 适应 适应在产前产前产前产前孩子们的孩子们的孩子们的孩子们.抑郁 抑郁症 抑郁症 抑郁症 抑郁症数字健康数字健康可以解释的机器学习.婴儿婴儿婴儿婴儿婴儿婴儿婴儿机器学习是机器学习.母亲的母亲的母亲.手机电话 手机电话手机电话母亲 母亲 母亲 母亲母亲的健康母亲的健康新生儿新生儿的新生儿父母的养育方式父母的父母的父母的父母的父母的父母的父母.感知到的支持支持.在分娩后的产后.这是一个心理社会心理社会问题.恢复力 恢复力调查调查调查调查调查调查调查调查没有监督的集群聚类.基于网络的基于网络的女人 女人 女人 女人 女人

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