This model is trained to recognize medical entities including treatments, chronic diseases, cancers, and allergies.
Model Details
Task: Named Entity Recognition
Framework: spaCy
Entity Types: TREATMENT, CHRONIC DISEASE, CANCER, ALLERGY, OTHER
Usage
python
1import spacy
2nlp = spacy.load("nitinyadav/continual_learning_ner_combined")3doc = nlp("Patient has been diagnosed with Type 2 Diabetes")4for ent in doc.ents:5print(ent.text, ent.label_)
Entity Labels
TREATMENT: Medical treatments and procedures
CHRONIC DISEASE: Long-term medical conditions
CANCER: Cancer-related conditions
ALLERGY: Allergic conditions
OTHER: Other medical entities
Training Data
This model was trained on medical text data with annotated entities.
