EarlyDetect: a cloud based mental health screening tool

Mental illness is the leading cause of disability in the world. Diagnosing mental health syndromes have proved challenging for clinicians. This has led to delay in diagnosis or misdiagnosis. Furthermore, the majority of individuals who have mental disorders have more than one condition (co-morbid), which are essential to screen and diagnosis early to achieve symptom remission and achieve full functional recovery. Recognizing the need for an effective assessment tool to foster early detection of mental health disorders, the goal of this Mitacs project is to launch EarlyDetect (ED), which has a machine learning based scoring engine integrated with a cloud based API. ED will improve health outcomes of numerous Canadian patients, improve wait times to receive appropriate treatment, as well as benefit Canada economically by promoting health care efficiency. It will also advance Canada technologically in pace with other international peers on precision mental health applications.

Faculty Supervisor:

Irene Cheng

Student:

Partner:

Chokka Center for Integrative Health

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

University of Alberta

Program: