Code for paper "Automated mood disorder symptoms monitoring from multivariate time-series sensory data: Getting the full picture beyond a single number".
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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.
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