This research aims to develop a mortality prediction model using a Gaussian Naive Bayes classification approach that incorporates various health indicators. Naive Bayes is a well-established and computationally efficient classification algorithm that assumes independence between predictors, Gaussian Naive Bayes also assumes the features distributions are Gaussian.
You can download our research paper by clicking here.
You can also view all our work in details in our website following this URL: https://statsxchange.vercel.app/.
We would like to acknowledge the following individuals for their contributions to the research:
Abdallah Magdy |
Aya Eyad |
Mohamed Alaa |
Osama Mohamed |
Ziad Meligy |