首页|New York University (NYU) Reports Findings in Machine Learning (Leveraging Machi ne Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabe tes Prevention Program: Evaluation Study)
New York University (NYU) Reports Findings in Machine Learning (Leveraging Machi ne Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabe tes Prevention Program: Evaluation 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 New York Cit y, New York, by NewsRx correspondents, research stated, “Digital diabetes preven tion programs (dDPPs) are effective ‘digital prescriptions’ but have high attrit ion rates and program noncompletion. To address this, we developed a personalize d automatic messaging system (PAMS) that leverages SMS text messaging and data i ntegration into clinical workflows to increase dDPP engagement via enhanced pati ent-provider communication.”
New York CityNew YorkUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRis k and Prevention