AnjaliDharmik/Skin-Disease-Text-Classification
Skin Disease Text Classification uses NLP to categorize dermatology texts for diagnosis and research. Challenges include complex terms, data scarcity, class imbalance, and privacy concerns. It aids diagnosis, clinical support, and telemedicine.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AnjaliDharmik/Skin-Disease-Text-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
medspacy/medspacy
Library for clinical NLP with spaCy.
jamesmullenbach/caml-mimic
multilabel classification of EHR notes
ncbi-nlp/NegBio
:newspaper: High-performance tool for negation and uncertainty detection in radiology reports
ClarityNLP/ClarityNLP
An NLP framework for clinical phenotyping. Docker | Python | Solr | OMOP....
salgadev/medical-nlp
Dataset for Natural Language Processing using a corpus of medical transcriptions and...