---
tags:
- spacy
- ner
- medical-ner
library_name: spacy
pipeline_tag: ner
language: en
license: mit
---

# Medical NER Model - medical-ner-task2

This model is trained to recognize medical entities including treatments, chronic diseases, cancers, and allergies.

## Model Details
- Task: medical-ner-task2
- Framework: spaCy
- Entity Types: TREATMENT, CHRONIC DISEASE, CANCER, ALLERGY, OTHER

## Usage
```python
import spacy
nlp = spacy.load("nitinyadav/continual_learning_ner_task2")
doc = nlp("Patient has been diagnosed with Type 2 Diabetes")
for ent in doc.ents:
    print(ent.text, ent.label_)
```