Start course
Image: Credit to Hossein Akbarialiabad et al.
About Course
Welcome to this course on Introduction to Mental Health Research, Technology & Data Gaps.
Mental disorders are common worldwide, with 50% arising before the age of 14. Despite the high burden and early onset, most conditions remain unrecognized and untreated due to lack of resources such as skilled workforce, social norms, data and technologies. In this course, participants will be able to learn and understand existing mental health research and data, gaps in prevention, diagnosis, treatment or management of mental health disorders, and understand the role of mental health data and technologies in addressing these gaps.
Course duration: 2 hrs lecture & 4 weeks of self-paced study
Course duration: 2 hrs lecture & 4 weeks of self-paced study
Course contents
- Introduction to mental health research data and gaps
- Existing mental health research, data and technologies
- Gaps in prevention, diagnosis and treatment of mental health disorders
- Role of data in dealing with mental health, research and technologies gaps
Course Instructor(s)
Course obejctive(s)
By the end of this course, participants will able to learn the following course objectives
· Learn the gaps in prevention, diagnosis and treatment of mental health disorders (e.g. Biological markers, life style)
· Learn what are existing mental health research, data and technologies (e.g. Digital phenotyping, predictive methods, machine learning and AI, precision psychiatry)
· Understand what are the gaps in mental health research, data and technologies
· Understand the role of data in advancing our understanding mental health disorders (diagnosis, treatment, preventions)
· Learn the gaps in prevention, diagnosis and treatment of mental health disorders (e.g. Biological markers, life style)
· Learn what are existing mental health research, data and technologies (e.g. Digital phenotyping, predictive methods, machine learning and AI, precision psychiatry)
· Understand what are the gaps in mental health research, data and technologies
· Understand the role of data in advancing our understanding mental health disorders (diagnosis, treatment, preventions)
Course contents
- Introduction to mental health research data and gaps
- Existing mental health research, data and technologies
- Gaps in prevention, diagnosis and treatment of mental health disorders
- Role of data in dealing with mental health, research and technologies gaps
Course Instructor(s)
Course obejctive(s)
By the end of this course, participants will able to learn the following course objectives
· Learn the gaps in prevention, diagnosis and treatment of mental health disorders (e.g. Biological markers, life style)
· Learn what are existing mental health research, data and technologies (e.g. Digital phenotyping, predictive methods, machine learning and AI, precision psychiatry)
· Understand what are the gaps in mental health research, data and technologies
· Understand the role of data in advancing our understanding mental health disorders (diagnosis, treatment, preventions)
· Learn the gaps in prevention, diagnosis and treatment of mental health disorders (e.g. Biological markers, life style)
· Learn what are existing mental health research, data and technologies (e.g. Digital phenotyping, predictive methods, machine learning and AI, precision psychiatry)
· Understand what are the gaps in mental health research, data and technologies
· Understand the role of data in advancing our understanding mental health disorders (diagnosis, treatment, preventions)