Robotics & Machine Learning Daily News2024,Issue(Jun.27) :25-26.

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)

纽约大学(NYU)报告了机器学习的发现(利用机器学习来开发数字糖尿病预防项目中用户的数字参与表型:评估研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :25-26.

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)

纽约大学(NYU)报告了机器学习的发现(利用机器学习来开发数字糖尿病预防项目中用户的数字参与表型:评估研究)

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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记者来自纽约Cit Y的新闻报道,研究表明,“数字糖尿病预防计划(dDPPs)是有效的‘数字处方’,但消耗率高,计划未完成。为了解决这个问题,我们开发了一个个性化的D自动消息系统(PAMS),该系统利用短信和数据整合到临床工作流程中,通过增强医患沟通来增加dDPP的参与度。”

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 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.”

Key words

New York City/New York/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Ris k and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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