MSc theses

• Emilia Marchese (co-advised by Juhi Kulshrestha) “Depression and Suicide Risk Detection From Internet Usage Traces”
• Rico Pircklén “Quantification of change in online activity patterns through the course of the COVID-19 pandemic”
• Anna Hakala “Classification of patients with depression and healthy controls based on behavioural patterns acquired from smartphone sensor data”

BSc theses

• Riku Tikkanen “Time series anomaly detection methods for smartphone sensor-based mental health care”
• Henri Ahti “Digitalization of peer support for substance use disorders”
• Lauri Anttila “Machine learning in psychiatry: prediction and detection of mood disorders”
• Samuel Sihvonen “The Methods of Machine Learning in the Prediction of Symptoms for Mood Disorders”
• Simo Antikainen “Visualization of human behaviour data for healthcare”