Scientific Research Publishing

Ambrish, G., et al. (2022) Logistic Regression Technique for Prediction of Heart Disease Using UCI Dataset. Global Transitions Proceedings, 3, 127-130.

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
IEEE

Enhancing Ovarian Tumor Dataset Analysis Through Data Mining Preprocessing Techniques

Abstract: The early detection and treatment of ovarian cancer face considerable hurdles due to its complexity and lethal nature. Because of its high death rates and heterogeneity, ovarian cancer poses ...
9to5Mac

Apple trained an LLM to teach itself good UI code in SwiftUI

In a new study, a group of Apple researchers describe a very interesting approach they took to, basically, get an open-source model to teach itself how to build good user interface code in SwiftUI.
GitHub

The Codes and datasets of the paper "Stable Subsampling under Model Misspecification and Covariate Shift"

This is a brief description for the experiments of the USSP algorithm project. This project contains all the programs used in Paper "Stable Subsampling under Model Misspecification and Data Shift", ...