Code for paper "Automated mood disorder symptoms monitoring from multivariate time-series sensory data: Getting the full picture beyond a single number".
-
Updated
Mar 28, 2024 - Jupyter Notebook
Code for paper "Automated mood disorder symptoms monitoring from multivariate time-series sensory data: Getting the full picture beyond a single number".
Code for paper "Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study"
Code for NeurIPS2022 TS4H workshop paper "Inferring mood disorder symptoms from multivariate time-series sensory data"
💻 Code used to generate a Shiny app containing a predictive model that aims to assess the risk of functional impairment in euthymic mood patients.
Desktop journal app supporting mood disorder diagnosis through text analysis. Developed as bachelor's thesis at Maria Curie-Skłodowska University.
Add a description, image, and links to the mood-disorders topic page so that developers can more easily learn about it.
To associate your repository with the mood-disorders topic, visit your repo's landing page and select "manage topics."