Application of Machine Learning Methods for the Analysis of Tele-health Data and Processes

应用机器学习方法分析远程医疗数据和流程

• 批准号: 521977-2017
• 负责人: Guergachi, Aziz
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640131
• 关键词: Application; Machine; Learning; Methods; Analysis

Sykes Assistance Services Corporation, an Ontario headquartered company supports telehealth programs forboth private and public-sector customers. It is looking to looking to create new value for its customers by usingstate of the art machine learning analytics with the available data to identify high users of the health caresystem and key messages and strategies which would help reduce the high use patterns, especially unnecessaryvisits to the Emergency Department.

总部位于安大略省的赛克斯援助服务公司为私人和公共部门的客户提供远程医疗服务。它希望通过使用最先进的机器学习分析技术和现有数据，为客户创造新的价值，以识别医疗保健系统的高用户，以及有助于减少高使用模式的关键信息和策略，特别是不必要的急诊科访问。