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pyplot

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Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics and plot visualizations from Phase 1 of Mahdavi & Siegel (2020) (Aerosol Science & Technology) Project Miestone: 2017 - 2020 Full-length article: https://www.tandfonline.com/doi/full/10.1080/02786826.2020.1774492

  • Updated May 29, 2024
  • Jupyter Notebook

This script creates a ML model, utilizing an XGBoost classifier, to predict the likelihood of an individual developing cervical cancer. The script asks the user for their age, smoking status, age of first sexual intercourse, number of pregancies, and IUD status and then predicts their risk of cervical cancer based on the model output.

  • Updated Apr 16, 2024
  • Python

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