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GitHub / kishanmaharaj / Actigraphy-based-Depression-Analysis

Predicting depression from daily gross motor activity

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kishanmaharaj%2FActigraphy-based-Depression-Analysis
PURL: pkg:github/kishanmaharaj/Actigraphy-based-Depression-Analysis

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 8.23 MB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: almost 2 years ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago

Topics: actigraphy, depression-analysis, depression-detection, lstm, mental-health, random-forest, xgboost

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