Integration Guide

Get started with our medical datasets in minutes.

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.

Code Examples

Python (Pandas)

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)}")

JavaScript (Node.js)

const fs = require('fs');

// Load medical dataset
const data = JSON.parse(fs.readFileSync('medicationqa.json', 'utf8'));

// Process data for chatbot training
const trainingPairs = data.map(item => ({
    question: item.input,
    answer: item.output,
    context: item.instruction
}));

// Example: Search functionality
function searchMedicalAnswer(query) {
    return data.filter(item => 
        item.input.toLowerCase().includes(query.toLowerCase())
    );
}

API Integration Example

REST API (Express.js)

// 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
    });
});

Frontend (React)

// React component example
const MedicalChatbot = () => {
    const [query, setQuery] = useState('');
    const [response, setResponse] = useState('');
    
    const askQuestion = async () => {
        const result = await fetch(
            `/api/medical-qa?query=${encodeURIComponent(query)}`
        );
        const data = await result.json();
        
        if (data.results.length > 0) {
            setResponse(data.results[0].output);
        } else {
            setResponse('No results found.');
        }
    };
    
    return (
        <div>
            <input value={query} onChange={e => setQuery(e.target.value)} />
            <button onClick={askQuestion}>Ask</button>
            <div>{response}</div>
        </div>
    );
};