nitinyadav/continual_learning_ner_task3

Medical NER Model - medical-ner-task3

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

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_)

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.