Temporal soft clustering for profiling and predictive analytics in elderly care homes

Nxtgen Care provides monitoring services for elderly care homes across North America. Their product provides detailed analysis in visual formats to understand the resident’s requirements and directing care in that direction. To meet this goal, voluminous data is collected from the various activities of the residents. Through this project, this data is processed and directed in a way to optimize resources for effective scheduling in a timely manner. This is done with the help of advanced Machine Learning (ML) and Artificial Intelligence (AI) techniques. The movements of the residents will be tracked in a timely manner to understand the behaviour and scheduling the care accordingly. This project focuses on providing effective care to elderly people along with effective resource management.

Faculty Supervisor:

Pawan Lingras

Student:

Maria Kuzhippallil

Partner:

Nxtgen Care

Discipline:

Other

Sector:

Health care and social assistance

University:

Saint Mary's University