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Nabdai
messouci/Nabdai
Nabdai is a text classification model from messouci. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
Name: Nabdh (نَبض) Version: 1.0 Developer: LaboConsulte AI Team — By Aymen Messouci Release Date: October 2025 Type: Hybrid AI Model for Medical Data Analysis Languages: Arabic, English
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Updated Oct 25, 2025
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Oct 25, 2025
- Updated
- Oct 25, 2025
- SHA
- 1f67f5b7
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Model card
From the Hugging Face model README
Model Overview
Name: Nabdh (نَبض)
Version: 1.0
Developer: LaboConsulte AI Team — By Aymen Messouci
Release Date: October 2025
Type: Hybrid AI Model for Medical Data Analysis
Languages: Arabic, English
Model Purpose
Nabdh is an AI model designed to assist doctors and users in understanding and interpreting medical test results and clinical data.
It provides personalized insights, early health pattern detection, and AI-powered recommendations.
Intended Use
- Doctors: Support decision-making in case evaluations.
- Patients: Simplified health explanations.
- Labs: Integration into digital health systems.
⚠️ Disclaimer: Nabdh is not a diagnostic tool. It provides supportive insights only.
Model Architecture
- Inputs: Laboratory results, textual descriptions, and clinical indicators.
- Core Components:
- NLP unit for understanding health descriptions.
- Random Forest + Neural Network hybrid for classification.
- Recommendation engine powered by a medical knowledge base.
- Outputs: Structured analysis + initial evaluation + health suggestion.
Training Data
- 120k anonymized medical records from licensed datasets.
- Data cleaned under HIPAA-compliant anonymization standards.
- Balanced dataset for accuracy across multiple lab test categories.
Evaluation Metrics
| Metric | Score | Description |
|---|---|---|
| Accuracy | 91% | Overall model accuracy |
| Precision | 89% | Relevance of predictions |
| Recall | 93% | Detection of abnormal cases |
| F1 Score | 0.91 | Global performance indicator |
Ethical Considerations
- No storage of personal data after inference.
- Designed for educational and clinical support only.
- Reviewed for compliance with medical ethics standards.
License
LaboConsulte Proprietary License — Research & Clinical Support Use Only
© 2025 LaboConsulte / Aymen Messouci.
All rights reserved.
Unauthorized redistribution or commercial use is strictly prohibited.
Contact: [email protected]
Tags
medical-ai healthcare arabic diagnosis-support laboconsulte
Citation
If you use or refer to this model, please cite as:
Messouci, A. (2025). Nabdh AI Model – LaboConsulte Intelligent Health Assistant (v1.0).
LaboConsulte AI Team, Algeria.
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Languages
- ar, en
- Created
- Oct 25, 2025
- Updated
- Oct 25, 2025