Robotics & Machine Learning Daily News2024,Issue(Nov.22) :27-27.

Researcher’s Work from University of Alabama at Birmingham Focuses on Machine Le arning (Leveraging machine learning to enhance appointment adherence at a novel post-discharge care transition clinic)

阿拉巴马大学伯明翰分校的研究人员的工作重点是机器Le Arning(利用机器学习来提高一家新型出院后护理过渡诊所的预约依从性)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :27-27.

Researcher’s Work from University of Alabama at Birmingham Focuses on Machine Le arning (Leveraging machine learning to enhance appointment adherence at a novel post-discharge care transition clinic)

阿拉巴马大学伯明翰分校的研究人员的工作重点是机器Le Arning(利用机器学习来提高一家新型出院后护理过渡诊所的预约依从性)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一篇新的报道讨论了关于人工智能的研究结果。根据来自伯明翰阿拉巴马大学的新闻报道由NewsRx记者报道,Research State,"这项研究应用预测性分析来识别有预约风险的患者。在一个新的出院后诊所(PDC)在一个大型学术健康系统。认识到在新的临床项目中,这项研究旨在为未来有针对性的研究提供信息增加任用依从性的干预措施"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting originating fr om the University of Alabama at Birmingham by NewsRx correspondents,research st ated, “This study applies predictive analytics to identify patients at risk of m issing appointmentsat a novel post-discharge clinic (PDC) in a large academic h ealth system. Recognizing the critical role ofappointment adherence in the succ ess of new clinical ventures, this research aims to inform future targetedinter ventions to increase appointment adherence.”

Key words

University of Alabama at Birmingham/Cyb orgs/Emerging Technologies/Machine Learning/Predictive Analytics/Risk and Pr evention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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