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tasks

PyHealth provides 20+ predefined clinical prediction tasks for common healthcare AI applications. Each task function transforms raw patient data into structured input-output pairs for model training.

  • Skills
  • Scientific
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What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/tasks && curl -fsSL https://doutorai.pt/data/lib/skills__tasks.md -o .claude/skills/tasks/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# PyHealth Clinical Prediction Tasks

## Overview

PyHealth provides 20+ predefined clinical prediction tasks for common healthcare AI applications. Each task function transforms raw patient data into structured input-output pairs for model training.

## Task Function Structure

All task functions inherit from `BaseTask` and provide:

- **input_schema**: Defines input features (diagnoses, medications, labs, etc.)
- **output_schema**: Defines prediction targets (labels, values)
- **pre_filter()**: Optional patient/visit filtering logic

**Usage Pattern:**
```python
from pyhealth.datasets import

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