Application of machine learning at predicting employees health condition to facilitate timely health intervention

应用机器学习预测员工健康状况，以便及时进行健康干预

• 批准号: 531279-2018
• 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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=652605
• 关键词: Application; machine; learning; predicting; employees

Morneau Shepell (MSI - the Company) is a leader in human resources technology and consulting for over 50**years; it has been a leading provider of employee and family assistance programs, it is the largest administrator**of retirement and benefits plans and the largest provider of integrated absence management solutions in**Canada.**The Company operates in a highly competitive market, where the competitors have developed new experiences**for their customers that are less difficult to use (i.e. the frictionless experience) with more options for access**and more tools. MSI realizes that they need to have a more sophisticated understanding of their client's needs**and experiences and connect it more directly to our operations data, and specifically by exploring patterns in**large data sets which predict problems. The Company believes that they can create new tools to ensure that**employers have useful labour market data and tools to support improvements to measuring and managing**employee health and performance.**Thus, the Company has approached Dr. Aziz Guergachi from Ryerson University, who has a vast experience**and proven track record in applying innovative Machine Learning techniques to discovering patterns in data**and creating prediction algorithms. Through this collaboration,**Morneau Shepell expects to create new methods and tools that will be integrated into their current system and**help predict Employees Health Condition to Facilitate Timely Health Intervention, specifically to reduce Short**Term Disability claims and facilitate and early detection of situations that would lead to Psychological**Challenges.

Morneau Shepell（MSI -公司）是人力资源技术和咨询领域的领导者，拥有超过50年的历史;它一直是员工和家庭援助计划的领先提供商，是加拿大最大的退休和福利计划管理者，也是最大的综合缺勤管理解决方案提供商。该公司在一个竞争激烈的市场中运营，竞争对手为他们的客户开发了新的体验 **，这些体验不太难使用（即无摩擦体验），有更多的访问选项 ** 和更多的工具。MSI意识到，他们需要更深入地了解客户的需求 ** 和体验，并将其更直接地与我们的运营数据联系起来，特别是通过探索预测问题的大型数据集中的模式。该公司认为，他们可以创建新的工具，以确保 ** 雇主拥有有用的劳动力市场数据和工具，以支持改善衡量和管理 ** 员工健康和绩效。因此，该公司已经联系了瑞尔森大学的Aziz Guergachi博士，他在应用创新的机器学习技术来发现数据中的模式 ** 和创建预测算法方面拥有丰富的经验 ** 和良好的记录。通过此次合作，**Morneau Shepell希望创建新的方法和工具，并将其整合到现有系统中，** 帮助预测员工的健康状况，以促进及时的健康干预，特别是减少短期 ** 残疾索赔，并促进和早期发现可能导致心理 ** 挑战的情况。