Robotics & Machine Learning Daily News2024,Issue(Jul.4) :11-12.

Anhui Medical University Reports Findings in Machine Learning (Machine learning predicts the serum PFOA and PFOS levels in pregnant women: Enhancement of fatty acid status on model performance)

安徽医科大学发表机器学习研究报告(机器学习预测孕妇血清PFOA和PFOS水平:脂肪酸状态对模型性能的影响)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :11-12.

Anhui Medical University Reports Findings in Machine Learning (Machine learning predicts the serum PFOA and PFOS levels in pregnant women: Enhancement of fatty acid status on model performance)

安徽医科大学发表机器学习研究报告(机器学习预测孕妇血清PFOA和PFOS水平:脂肪酸状态对模型性能的影响)

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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NewsRx记者从中华人民共和国合肥发回的新闻报道,研究表明:“人类暴露于全氟烷基和多氟烷基物质(PFASs)的情况已经得到了相当大的关注,特别是在孕妇中,因为她们的生理状况和饮食模式发生了巨大的变化。根据外部和相关参数预测孕妇体内PFAS暴露的情况尚未研究。”

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 reporting originating from Hefei, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Human exposur e to per- and polyfluoroalkyl substances (PFASs) has received considerable atten tion, particularly in pregnant women because of their dramatic changes in physio logical status and dietary patterns. Predicting internal PFAS exposure in pregna nt women, based on external and relevant parameters, has not been investigated.”

Key words

Hefei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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