Instructions to use ash1kn1zar/ICD_10_Finder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ash1kn1zar/ICD_10_Finder with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ash1kn1zar/ICD_10_Finder", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Model Card for ICD_10_Finder
- Developed by:Ashik Nizar
- Model type: SVM
- Language(s) (NLP): English
- License: GPLv3 Licence
Uses
ICD Code prediction from EMR Text. Medical Coding automation.
Direct Use
This model would need fine-tuning.
Training Data
Dummy EMR/EHR text
Testing Data
Dummy EMR/EHR Data.
Model Card Contact
- Downloads last month
- -