首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
HefeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
