Robotics & Machine Learning Daily News2024,Issue(Apr.23) :30-31.

Sun Yat-Sen University Reports Findings in Machine Learning (The association bet ween PM2.5 components and blood pressure changes in late pregnancy: A combined a nalysis of traditional and machine learning models)

Robotics & Machine Learning Daily News2024,Issue(Apr.23) :30-31.

Sun Yat-Sen University Reports Findings in Machine Learning (The association bet ween PM2.5 components and blood pressure changes in late pregnancy: A combined a nalysis of traditional and machine learning models)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Guangzhou, People’s Repu blic of China, by NewsRx journalists, research stated, “PM is aharmful mixture of various chemical components that pose a challenge in determining their indivi dual andcombined health effects due to multicollinearity issues with traditiona l linear regression models. This studyaimed to develop an analytical methodolog y combining traditional and novel machine learning models toevaluate PM’s combi ned effects on blood pressure (BP) and identify the most toxic components.”

Key words

Guangzhou/People’s Republic of China/A sia/Blood Pressure/Cyborgs/Diagnostics and Screening/Diastolic Blood Pressur e/Emerging Technologies/Health and Medicine/Machine Learning/Systolic Blood Pressure

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文