Mental Health & AI - Research paper reads

Paper #1 - Forecasting the onset and course of mental illness with Twitter data

Key Notes

• Dataset - 204 individuals (105 depressed, 99 healthy).
• Models - Classify depressed and healthy content, supervised learning algorithms, time series model
• Depression­ related terms such as diagnosis, antidepressants, psychotherapy, and hospitalization

Paper #2 - Predicting User Emotional Tone in Mental Disorder Online Communities

Paper #3 - Mental Health and Sensing

Features

1. Facial expression
2. Heart rate variability
3. Eye movement
4. Electrodermal activity
5. Mobility and location
6. Speech patterns
7. Technology use
8. Activity
9. Social interaction
10. Communication patterns
11. Social media

More Reads

Big Data Analytics and AI in Mental Healthcare

What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing

Temporal Mental Health Dynamics on Social Media

Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being

Keep Thinking!!!