Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
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 ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
NBC News

Is this blood test a better predictor of heart disease than LDL cholesterol?

“Bad,” or LDL, cholesterol is a major risk factor for heart disease and most people are screened for it as part of their yearly physicals. There’s another marker in the blood that may be a better ...
IEEE

Heart Disease Prediction Using Logistic Regression

Abstract: Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide, and early identification is crucial to improve the patient’s prognosis. Traditional diagnostic methods for ...
ABC 10 News

Simple blood test could help predict heart problems, UC San Diego Health study finds

UC San Diego Health researchers develop a simple test to detect pulmonary arterial hypertension before it leads to heart failure. LA JOLLA, Calif. (KGTV) - New research from UC San Diego Health shows ...
Frontiers

Antenatal prediction of small for gestational age at birth based on four birthweight standards using machine learning algorithms

Accurate antenatal prediction of SGA at birth is essential to improve development and delivery of preventative and therapeutic interventions. This study aimed to assess the performance of machine ...
Hosted on MSN

Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
SciELO

Comparative machine learning models for hypertension prediction in a cohort of patients with diabetes using routine clinical variables

Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...
ReadWrite

Matchbook: prediction market is launching in UK as ‘road test’ before US

Sophie Atkinson is a UK-based journalist and content writer, as well as a founder of a content agency which focuses on storytelling through social media… A prediction market will soon be entering the ...
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 ...