Tabular Classification
Scikit-learn
English
hierarchical
healthcare
ehr
copd
clinical-risk
tabular
scikit-learn
clustering
unsupervised
Instructions to use stormid/copd-model-e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use stormid/copd-model-e with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("stormid/copd-model-e", "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
File size: 454 Bytes
53a6def | 1 2 3 4 5 6 7 8 9 10 11 12 | # Processing Utilities
This folder contains processing utilities called within the main processing scripts in the folder above.
- `adm/comorb/labs_processing.py` contain utilities for processing each type of specific data
- `adm_reduction.py` contains reduction functions required for processing admissions
- `common.py` functions are used across processing for all datasets
- `adm_common.py` functions are used in both admissions and comorbidities
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