Digital habits → wellbeing risk (binary): calibrated risk scoring + cost-aware thresholding with deployable artifacts (LogReg/RF/XGBoost).
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Updated
Nov 8, 2025 - Jupyter Notebook
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digital-behavior
Here are 3 public repositories matching this topic...
The goal of this project is to develop a predictive model that analyzes children's physical activity and fitness data to identify early signs of problematic internet use. Identifying these patterns can help trigger interventions to encourage healthier digital habits.
health activity-monitoring mental-health multiclass-classification physical-activity sleep-analysis screen-time internet-addiction behavioral-health problematic-internet-use psychological-wellbeing tim-series-analysis cohen-kappa-score internet-usage-patterns digital-behavior actigraphy-data
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Nov 26, 2025 - Python
📊 Analyze children's activity data to predict and address problematic internet use, fostering healthier digital habits through early intervention.
machine-learning neural-network health kaggle-competition ensemble mental-health physical-activity sleep-analysis screen-time internet-addiction behavioral-health problematic-internet-use childmind psychological-wellbeing tim-series-analysis cohen-kappa-score digital-behavior actigraphy-data
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Updated
Feb 1, 2026 - Python
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