README.md

---

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


# Medical NER Model - medical-ner-task3

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

## Model Details
- Task: medical-ner-task3
- Framework: spaCy
- Entity Types: TREATMENT, CHRONIC DISEASE, CANCER, ALLERGY, OTHER

## Usage
```python

import spacy

nlp = spacy.load("nitinyadav/continual_learning_ner_task3")

doc = nlp("Patient has been diagnosed with Type 2 Diabetes")

for ent in doc.ents:

    print(ent.text, ent.label_)

```