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Integration Guide

Get started with our medical datasets in minutes.
1

Download Dataset

Access your purchased datasets through our secure download portal. You can find sample datasets here.
2

Load JSON Data

Import the structured JSON files into your preferred development environment.
3

Train Your Model

Use the instruction-input-output format for fine-tuning or training your AI models.

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Code Examples

  • Python (Pandas)
  • JavaScript (Node.js)
import json
import pandas as pd

# Load medical dataset
with open('medicationqa.json', 'r') as f:
    data = json.load(f)

# Convert to DataFrame
df = pd.DataFrame(data)

# Prepare training data
training_data = df[['instruction', 'input', 'output']]

# Example: Filter medication-related questions
medication_qs = df[df['input'].str.contains('medication|drug|pill')]

print(f"Total entries: {len(df)}")
print(f"Medication questions: {len(medication_qs)}")

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API Integration Example

  • REST API (Express.js)
  • Frontend (React)
// Express.js API endpoint
app.get('/api/medical-qa', (req, res) => {
    const { query, category } = req.query;
    
    let results = medicalData;
    
    if (query) {
        results = results.filter(item => 
            item.input.toLowerCase().includes(query.toLowerCase())
        );
    }
    
    if (category) {
        results = results.filter(item => 
            item.instruction.includes(category)
        );
    }
    
    res.json({
        results: results.slice(0, 10),
        total: results.length
    });
});
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