meddatasets 0.1.0

A curated collection of medical and healthcare datasets for data analysis, clinical research, epidemiology, and education. Includes cancer data, chronic disease diagnostics, hospital management records, public health, statistics and more from Kaggle sources.

meddatasets

The meddatasets package provides a curated collection of medical and healthcare datasets for data analysis, clinical research, epidemiology, and education in Python. It includes cancer data, chronic disease diagnostics, hospital management records, public health statistics, and more — sourced from Kaggle.

Installation

You can install the meddatasets package from PyPI:

pip install meddatasets

Usage

import meddatasets as md

# List all available datasets

datasets = md.list_datasets()
print(datasets)

# Load a specific dataset

df = md.load_dataset('breast_cancer')
print(df.head())

# Describe dataset

df_01 = md.describe('smoking_cancer_risk')
print(df_01)

📊 Some Available Datasets

Dataset	Description
breast_cancer	Breast Cancer dataset derived from the Breast Cancer Wisconsin (Diagnostic) dataset.
smoking_cancer_risk	Smoking and cancer risk analysis dataset.
covid_worldwide	Dataset containing COVID-19 cases and deaths worldwide.
water_pollution_disease	Dataset containing data on water pollution and its impact on public health.

Run meddatasets.list_datasets() or md.list_datasets() (using md as alias) to see the full list of available datasets.

Disclaimer

meddatasets is intended for educational and research purposes only. The datasets provided should not be used for clinical diagnosis or medical decision-making.

License

The meddatasets library is released under the MIT License, allowing free use for both commercial and non-commercial purposes. See the LICENSE file for details.