medical-data-tools
OfficialAnalyze medical data workflows.
Data & Analytics#dicom#clinical research#medical imaging#biosignal analysis#neurokit2#cohort profiling
AuthorDrugClaw
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the analysis of medical data, including imaging metadata, biosignals, and clinical cohort tables, for research and data engineering purposes.
Core Features & Use Cases
- DICOM Inspection: Analyze DICOM files for metadata, modality mix, and create basic de-identified copies.
- Biosignal Analysis: Process and extract features from ECG, PPG, EDA, RSP, and EMG signals using NeuroKit2.
- Cohort Table Profiling: Summarize clinical datasets, checking for label balance, code distributions, and subgroup characteristics.
- Use Case: A researcher needs to quickly understand the composition of a DICOM dataset before starting a study. They can use this Skill to get a summary of modalities and studies present, and optionally generate de-identified versions for sharing.
Quick Start
Use the medical-data-tools skill to inspect the DICOM files in the '~/Downloads/imaging_data' directory recursively and output a CSV inventory.
Dependency Matrix
Required Modules
pandaspydicomneurokit2
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: medical-data-tools Download link: https://github.com/DrugClaw/DrugClaw/archive/main.zip#medical-data-tools Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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