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

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:
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
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

项目摘要

项目成果

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中文摘要
翻译
总部位于安大略的Sykes Assistance Services Corporation为私营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可用数据来识别健康护理的高用户以及关键信息和策略,从而为客户创造新的价值,这将有助于减少高使用模式,特别是不必要的急诊室访问。
英文摘要
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.
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explainable AI, Data Analytics and Industrial Engineering Methods for Primary Care
  • 批准号:
    RGPIN-2019-05522
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2022
  • 负责人:
    Guergachi, Aziz
  • 依托单位:
explainable AI, Data Analytics and Industrial Engineering Methods for Primary Care
  • 批准号:
    RGPIN-2019-05522
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2021
  • 负责人:
    Guergachi, Aziz
  • 依托单位:
explainable AI, Data Analytics and Industrial Engineering Methods for Primary Care
  • 批准号:
    RGPIN-2019-05522
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2020
  • 负责人:
    Guergachi, Aziz
  • 依托单位:
explainable AI, Data Analytics and Industrial Engineering Methods for Primary Care
  • 批准号:
    RGPIN-2019-05522
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2019
  • 负责人:
    Guergachi, Aziz
  • 依托单位:
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位: