首页|Third Affiliated Hospital of Sun Yat-Sen University Reports Findings in Machine Learning (A machine learning model to predict spontaneous vaginal delivery failu re for term nulliparous women: An observational study)
Third Affiliated Hospital of Sun Yat-Sen University Reports Findings in Machine Learning (A machine learning model to predict spontaneous vaginal delivery failu re for term nulliparous women: An observational study)
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 Guangdong, P eople’s Republic of China, by NewsRx correspondents, research stated, “This stud y aims to construct and evaluate a model to predict spontaneous vaginal delivery (SVD) failure in term nulliparous women based on machine learning algorithms. I n this retrospective observational study, data on nulliparous women without cont raindications for vaginal delivery with a singleton pregnancy 37 weeks and befor e the onset of labor from September 2020 to September 2021 were divided into a t raining set and a temporal validation set.”
GuangdongPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesGynecologyHealth and MedicineMachine Le arningWomen's Health
NETL
NSTL
