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ddr-globem-analysis

Official

Analyze participant data from GLOBEM digital depression research dataset

Data & Analytics#mental health#behavioral analysis#longitudinal data#GLOBEM dataset#EMA analysis
Authorzjunlp
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill analyzes specific participant's longitudinal passive-sensing and psychological data from the GLOBEM digital depression research dataset, providing insights into mental health and behavioral changes.

Core Features & Use Cases

  • Data Analysis: Analyze user's mental health or behavioral data from wearables/smartphones.
  • QA Generation: Generate QA pairs about behavioral/psychological changes over time.
  • EMA Analysis: Analyze EMA (Experience Sampling Method) data for mood assessment.
  • Use Case: Analyze a participant's data to identify patterns in mental health or behavior over time.

Quick Start

Analyze the mental health data for participant 'INS-W_011' using the ddr-globem-analysis skill.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ddr-globem-analysis
Download link: https://github.com/zjunlp/DataMind/archive/main.zip#ddr-globem-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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