A clinical NLP toolkit powered by BERT for classification, summarization, and real-time predictions.
A clinical NLP toolkit powered by BERT for classification, summarization, and real-time predictions.
- 🔍 Classifies medical notes using
bert-base-uncased - 📄 Summarizes clinical narratives with T5
- 🩺 Built on MIMIC-III dataset
- 🌐 REST API using Flask
- 💬 Easily extendable for multi-label classification or QA
git clone https://github.com/yourusername/MediBERTx.git
cd MediBERTx
pip install -r requirements.txtpython scripts/train.py # Train model
python app/app.py # Run Flask API- Hospital discharge summary triage
- Simplifying complex clinical documents
- Assisting physician note review workflows
| Classifier | Summarizer |
|---|---|
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Pull requests welcome. Let's build smarter healthcare NLP together.
MIT © 2025 Abhiram Varma Nandimandalam