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 ...
Gut

Real-world impact of implementing lumen-apposing metal stents for pancreatic fluid collections: a nationwide Japanese study

Background Lumen-apposing metal stents (LAMSs) are increasingly used for the endoscopic management of pancreatic fluid collections (PFCs), including walled-off necrosis (WON) and pancreatic ...
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

Machine learning-based coronary heart disease diagnosis model for type 2 diabetes patients

Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...
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 ...
Frontiers

Explainable AI-based feature importance analysis for ovarian cancer classification with ensemble methods

Introduction: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions ...
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 ...