# survival-datasets
A simple data loader for the most common datasets in Survival Analysis. Currently the following are included:
* Veterans Lung Cancer (https://scikit-survival.readthedocs.io/en/stable/api/generated/sksurv.datasets.load_veterans_lung_cancer.html)
* German Breast Cancer Study Group (GBSG2) (https://scikit-survival.readthedocs.io/en/stable/api/generated/sksurv.datasets.load_gbsg2.html)
* AIDS dataset (https://scikit-survival.readthedocs.io/en/stable/api/generated/sksurv.datasets.load_aids.html)
* NHANES (https://shap.readthedocs.io/en/latest/generated/shap.datasets.nhanesi.html)
* SUPPORT Study to Understand Prognoses Preferences Outcomes and Risks of Treatment (from DeepSurv paper, https://arxiv.org/abs/1606.00931)
* METABRIC The Molecular Taxonomy of Breast Cancer International Consortium (from DeepSurv paper, https://arxiv.org/abs/1606.00931)
* WHAS500 Worcester Heart Attack Study (https://scikit-survival.readthedocs.io/en/stable/api/datasets.html)
* FLCHAIN (https://scikit-survival.readthedocs.io/en/stable/api/datasets.html)
* SEER (from Kaggle, https://www.kaggle.com/code/jnegrini/breast-cancer-dataset)
## Requirements
* Python 3.8 or later
* scikit-survival 0.17.2 or later
* pandas 1.4.3 or later
* numpy 1.22.4 or later
* shap 0.41 or later
* pyarrow 11.0 or later
## Installation
Simply install via pip:
```
pip install survival-datasets
```
## Examples
Import the datasets module from the package and load your dataset of choice:
```
from survdata import datasets
if __name__ == "__main__":
X, y = datasets.load_seer_dataset()
```
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"description": "# survival-datasets\r\n\r\nA simple data loader for the most common datasets in Survival Analysis. Currently the following are included: \r\n* Veterans Lung Cancer (https://scikit-survival.readthedocs.io/en/stable/api/generated/sksurv.datasets.load_veterans_lung_cancer.html)\r\n* German Breast Cancer Study Group (GBSG2) (https://scikit-survival.readthedocs.io/en/stable/api/generated/sksurv.datasets.load_gbsg2.html)\r\n* AIDS dataset (https://scikit-survival.readthedocs.io/en/stable/api/generated/sksurv.datasets.load_aids.html)\r\n* NHANES (https://shap.readthedocs.io/en/latest/generated/shap.datasets.nhanesi.html)\r\n* SUPPORT Study to Understand Prognoses Preferences Outcomes and Risks of Treatment (from DeepSurv paper, https://arxiv.org/abs/1606.00931)\r\n* METABRIC The Molecular Taxonomy of Breast Cancer International Consortium (from DeepSurv paper, https://arxiv.org/abs/1606.00931)\r\n* WHAS500 Worcester Heart Attack Study (https://scikit-survival.readthedocs.io/en/stable/api/datasets.html)\r\n* FLCHAIN (https://scikit-survival.readthedocs.io/en/stable/api/datasets.html)\r\n* SEER (from Kaggle, https://www.kaggle.com/code/jnegrini/breast-cancer-dataset)\r\n\r\n## Requirements\r\n\r\n* Python 3.8 or later\r\n* scikit-survival 0.17.2 or later\r\n* pandas 1.4.3 or later\r\n* numpy 1.22.4 or later\r\n* shap 0.41 or later\r\n* pyarrow 11.0 or later\r\n\r\n## Installation\r\n\r\nSimply install via pip:\r\n```\r\npip install survival-datasets\r\n```\r\n\r\n## Examples\r\n\r\nImport the datasets module from the package and load your dataset of choice:\r\n```\r\nfrom survdata import datasets\r\n\r\nif __name__ == \"__main__\":\r\n X, y = datasets.load_seer_dataset()\r\n```\r\n",
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