Robotics & Machine Learning Daily News2024,Issue(Jun.11) :54-55.

Neurocenter of Southern Switzerland Reports Findings in Machine Learning (A mach ine learning model to predict the risk of perinatal depression: Psychosocial and sleep-related factors in the Life-ON study cohort)

瑞士南部神经中心报告了机器学习的发现(预测围产期抑郁症风险的机器学习模型:终身学习队列中的社会心理和睡眠相关因素)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :54-55.

Neurocenter of Southern Switzerland Reports Findings in Machine Learning (A mach ine learning model to predict the risk of perinatal depression: Psychosocial and sleep-related factors in the Life-ON study cohort)

瑞士南部神经中心报告了机器学习的发现(预测围产期抑郁症风险的机器学习模型:终身学习队列中的社会心理和睡眠相关因素)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据来自瑞士卢加诺的新闻,B y NewsRx通讯员,研究表明:“围产期抑郁症(PND)是妊娠的常见并发症,对母亲和婴儿都有严重的健康后果。识别PND的危险因素是早期诊断高危妇女的关键。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Lugano, Switzerland, b y NewsRx correspondents, research stated, “Perinatal depression (PND) is a commo n complication of pregnancy associated with serious health consequences for both mothers and their babies. Identifying risk factors for PND is key to early dete ct women at increased risk of developing this condition.”

Key words

Lugano/Switzerland/Europe/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning/Psychosocial/Risk a nd Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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