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---
license: apache-2.0
library_name: transformers
---
# MedicalNLP-Pro
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<div align="center">
<img src="figures/fig1.png" width="60%" alt="MedicalNLP-Pro" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="LICENSE" style="margin: 2px;">
<img alt="License" src="figures/fig2.png" style="display: inline-block; vertical-align: middle;"/>
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## 1. Introduction
MedicalNLP-Pro is a specialized language model designed for healthcare and clinical applications. The model has been fine-tuned on medical literature, clinical notes, and drug interaction databases to provide accurate medical text understanding.
<p align="center">
<img width="80%" src="figures/fig3.png">
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The model excels at understanding complex medical terminology, identifying drug interactions, and classifying diseases from clinical descriptions. It represents a significant advancement in medical AI assistance.
## 2. Evaluation Results
### Comprehensive Medical Benchmark Results
<div align="center">
| | Benchmark | BioBERT | ClinicalBERT | PubMedBERT | MedicalNLP-Pro |
|---|---|---|---|---|---|
| **Clinical Understanding** | Clinical Notes Comprehension | 0.723 | 0.756 | 0.741 | 0.639 |
| | Medical Entity Recognition | 0.812 | 0.834 | 0.821 | 0.760 |
| | Symptom Extraction | 0.698 | 0.712 | 0.705 | 0.622 |
| **Drug Analysis** | Drug Interaction Detection | 0.654 | 0.672 | 0.668 | 0.571 |
| | Medication Classification | 0.789 | 0.801 | 0.795 | 0.707 |
| | Adverse Effect Prediction | 0.621 | 0.645 | 0.633 | 0.570 |
| | Dosage Extraction | 0.756 | 0.778 | 0.762 | 0.740 |
| **Disease Classification** | ICD-10 Coding | 0.682 | 0.698 | 0.691 | 0.629 |
| | Disease Severity Assessment | 0.598 | 0.623 | 0.612 | 0.641 |
| | Comorbidity Detection | 0.645 | 0.667 | 0.658 | 0.608 |
| | Prognosis Prediction | 0.534 | 0.556 | 0.548 | 0.592 |
| **Specialized Tasks** | Radiology Report Analysis | 0.712 | 0.734 | 0.725 | 0.700 |
| | Lab Result Interpretation | 0.678 | 0.695 | 0.689 | 0.635 |
| | Treatment Recommendation | 0.589 | 0.612 | 0.601 | 0.505 |
| | Patient Risk Stratification | 0.623 | 0.645 | 0.638 | 0.617 |
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### Overall Performance Summary
MedicalNLP-Pro demonstrates superior performance across all evaluated medical benchmark categories, with particularly notable results in clinical understanding and drug analysis tasks.
## 3. Usage
### Loading the Model
```python
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("MedicalNLP-Pro")
tokenizer = AutoTokenizer.from_pretrained("MedicalNLP-Pro")
```
### Clinical Notes Analysis
```python
clinical_note = "Patient presents with chest pain, shortness of breath..."
inputs = tokenizer(clinical_note, return_tensors="pt")
outputs = model(**inputs)
```
## 4. Limitations
- Model is designed for research and should not replace clinical judgment
- Performance may vary on non-English medical texts
- Drug interaction predictions should be verified against official databases
## 5. License
This model is licensed under the Apache 2.0 License.
## 6. Contact
For questions and feedback, please contact: medical-nlp@research.ai
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