Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.

Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

Abstract: Logistic regression is a supervised learning algorithm widely used in binary classification scenarios. It can predict the probability of time occurrence with probability. In this paper, to ...

Hurricane Erin weakened into a Category 2 storm over Monday evening, the latest shift in what has been a remarkably fast-changing storm. The hurricane’s behavior in recent days makes it one of the ...