Jainam-11/symptom-based-disease-prediction-v2

Symptom-Based Disease Prediction Dataset (Confidence-Aware) – v2

📘 Overview

Version 2 of the Symptom-Based Disease Prediction Dataset is an improved and more structured medical reasoning dataset designed for Large Language Models (LLMs) and AI-driven healthcare research.

This version introduces:

• cleaner formatting,
• improved disease grouping,
• better confidence separation,
• enhanced consistency,
• and more fine-tuning-friendly outputs.

Each sample presents symptoms in natural language form and generates multiple possible diseases categorized by confidence levels.

The dataset is designed to support:

• medical reasoning,
• multi-label disease prediction,
• instruction tuning,
• and healthcare-focused AI experimentation.

---

🎯 Objectives of Version 2

Version 2 focuses on improving:

• Data consistency
• Output quality
• Confidence-level reasoning
• Fine-tuning compatibility
• Prompt-response alignment
• Symptom coverage and diversity

Compared to Version 1, this release provides:

• better structured outputs,
• more stable formatting,
• improved disease categorization,
• and enhanced usability for LLM workflows.

---

🧠 Key Features

• Symptom-to-disease reasoning
• Multi-disease prediction support
• Confidence-aware disease categorization:
  • high_confidence
  • medium_confidence
  • low_confidence
• Instruction-style formatting for causal LLMs
• Handles overlapping and ambiguous symptoms
• JSONL format for scalable processing
• Fine-tuning-oriented structure
• Improved response consistency over v1

---

📂 Dataset Format

The dataset is stored in JSON Lines (.jsonl) format, where each line corresponds to one training sample.

Schema

{
  "input": "string",
  "output": {
    "high_confidence": ["string"],
    "medium_confidence": ["string"],
    "low_confidence": ["string"]
  }
}

---

📝 Example Sample

{
  "input": "Patient reports fever, persistent cough, fatigue, headache, and sore throat.",
  "output": {
    "high_confidence": [
      "Influenza",
      "COVID-19"
    ],
    "medium_confidence": [
      "Common Cold"
    ],
    "low_confidence": [
      "Pneumonia"
    ]
  }
}

---

📊 Dataset Characteristics

Feature	Description
Domain	Healthcare / Medical AI
Task Type	Multi-label disease prediction
Input Style	Natural language symptoms
Output Style	Confidence-based disease reasoning
File Format	JSONL
Language	English
Training Compatibility	LLM fine-tuning & instruction tuning

---

🚀 Intended Use Cases

This dataset can be used for:

• Medical reasoning research
• LLM fine-tuning
• Healthcare AI assistants
• Symptom analysis systems
• Multi-label classification research
• Prompt engineering experiments
• Clinical NLP research
• Educational AI applications

---

🔒 Disclaimer

This dataset is intended strictly for:

• research,
• experimentation,
• educational purposes,
• and AI development.

It must NOT be used as a replacement for professional medical advice, diagnosis, or treatment.

The creators assume no responsibility for medical misuse or clinical interpretation of this dataset.

---

📈 Improvements Over Version 1

Version 2 introduces:

• Better formatting consistency
• Cleaner confidence separation
• Improved disease labeling
• Enhanced instruction-response alignment
• More stable JSON structures
• Better LLM compatibility
• Reduced noisy outputs
• Improved scalability for future versions

---

📜 License

This dataset is released under the Apache 2.0 License.

---

🤝 Contributions

Contributions, feedback, and suggestions are welcome.

Potential collaboration areas:

• Medical validation
• Dataset balancing
• Clinical annotation refinement
• Expanded disease coverage
• Healthcare NLP improvements

---

👨‍💻 Author

Developed by: Jainam-11

Research Areas:

• AI/ML
• Healthcare AI
• Medical reasoning systems
• LLM-based disease prediction
• Clinical NLP