Open Heart

Evaluation of risk factors, clinical profile, angiographic characteristics and reperfusion therapy among young patients (≤ 45 years) with acute ST-elevation myocardial ...

Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...
Lupus Science & Medicine

Trajectories of long-term eGFR and proteinuria in lupus nephritis: a real-world biopsy-proven cohort study

Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...
Heart

Sex differences in the prevalence and risk factors for aortic valve calcification in the general population

Background Aortic valve calcification (AVC) is a disease process driven by inflammation and lipid infiltration, serving as a ...
Scientific Research Publishing

Phillips, K.T. and Street, W.N. (2005) Predicting Outcomes of Hospitalization for Heart Failure Using Logistic Regression and Knowledge Discovery Methods. AMIA Annual Symposium ...

ABSTRACT: In order to solve the problem of chronic heart failure risk prediction in the elderly, a logistic regression modeling framework with Bayesian method was proposed, aiming to solve the problem ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
ascopubs.org

Performance of Two-Phase Designs for the Time-to-Event Outcome and a Case Study Assessing the Relapse Risk Associated With B-ALL Subtypes

As biomarker studies employ increasingly complex and expensive genomics and other correlative methods, it is increasingly important to rigorously design these studies and analyze the downstream ...
Scientific Research Publishing

Credit Score Classification Using Advanced Machine Learning: A Comprehensive Approach ()

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...