The American Journal of Managed Care

Machine Learning May Enable Earlier Detection of CKD Risk Factors

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Edutopia

Making Use of a Worked Example to Improve Learning

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
IEEE

Predicting Cervical Cancer Risk Using Logistic Regression and Machine Learning Techniques

Abstract: Cervical cancer is a significant worldwide health concern, particularly in developing countries. Human Papillomavirus (HPV), a virus commonly dispersed via sexual activity, is recognized as ...
IEEE

Malware Detection through Machine Learning: Evaluating Random Forest, Logistic Regression, and Neural Networks

Abstract: This study offers an in-depth comparative evaluation of various machine learning methods for malware detection using Windows Portable Executable (PE) files. We evaluate three distinct ...