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

点击翻译按钮获取中文摘要

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.