haipipe-data-3-case
CommunityExtract event-triggered features from patient data.
Data & Analytics#machine learning#feature engineering#data pipeline#time series#patient data#case processing
Authorjluo41
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex process of transforming raw patient time-series data into structured, event-triggered feature sets ready for machine learning.
Core Features & Use Cases
- Event Triggering: Identifies specific events or time windows within patient records (e.g., CGM readings, medication events).
- Feature Extraction: Extracts relevant features around these trigger points using defined functions (CaseFns).
- Use Case: Generate a dataset of patient features (like glucose levels before and after an event, or demographic information) for training a predictive model for disease progression.
Quick Start
Use the haipipe-data-3-case skill to cook a new case set using the configuration file located at config/test-haistep-ohio/3_test_case.yaml.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: haipipe-data-3-case Download link: https://github.com/jluo41/research-skills/archive/main.zip#haipipe-data-3-case Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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