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

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:
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
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
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。
英文摘要
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.
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