Academic Articles & Research Papers

Exploring feature selection and classification methods for predicting heart disease

Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...

Prenatal to postnatal trajectory of brain growth in complex congenital heart disease

Altered brain development is a common feature of the neurological sequelae of complex congenital heart disease (CHD). These alterations include abnormalities in brain size and growth that begin prenatally and persist postnatally. However, t...

¿Cómo es la cirugía cardiaca neonatal en un centro terciario en México?

Resumen: Introducción y objetivos: México posee instituciones públicas y privadas para atender a 120 millones de habitantes. Nuestro hospital pediátrico es una institución pública del Instituto Mexicano del Seguro Social. Presentamos nuest...

HFA of the ESC Position paper on the management of LVAD supported patients for the non LVAD specialist healthcare provider Part 1: Introduction and at the non‐hospital settings in the community

Abstract The accepted use of left ventricular assist device (LVAD) technology as a good alternative for the treatment of patients with advanced heart failure together with the improved survival of the LVAD‐supported patients on the device a...

Wearable ECG Device and Machine Learning for Heart Monitoring

With cardiovascular diseases (CVD) remaining a leading cause of mortality, wearable devices for monitoring cardiac activity have gained significant, renewed interest among the medical community. This paper introduces an innovative ECG monit...

Use of Stem Cells in the Treatment of Myocardial Infarction

Considerable research has been done in the past few decades to treat ischemic heart disease (stroke). Although drug therapies can improve heart disease and reduce mortality in heart failure, none is able to regenerate damaged heart tissue. ...

Nutritional Epidemiology

Abstract This book is about the complex relationships between diet and risks of important diseases, such as cancer and cardiovascular disease. The book starts with an overview of research strategies in nutritional epidemiology—still a relat...

Nutritional Epidemiology

This book is intended to increase understanding of the complex relationships between diet and the major diseases of western civilization, such as cancer and atherosclerosis. The book starts with an overview of research strategies in nutriti...

Transcatheter heart valve interventions for patients with rheumatic heart disease

Rheumatic heart disease [RHD] is the most prevalent cause of valvular heart disease in the world, outstripping degenerative aortic stenosis numbers fourfold. Despite this, global resources are firmly aimed at improving the management of deg...

The effect of replacing saturated fat with mostly n-6 polyunsaturated fat on coronary heart disease: a meta-analysis of randomised controlled trials

Abstract Background A cornerstone of conventional dietary advice is the recommendation to replace saturated fatty acids (SFA) with mostly n-6 polyunsaturated fatty acids (PUFA) to reduce the risk of coronary heart disease (CHD). Many clinic...

Artificial Neural Networks in Medical Diagnosis

Artificial neural networks are finding many uses in the medical diagnosis application. The goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are studied. The first one is acute nephritis disease; da...

NON-INVASIVE INVESTIGATIONS IN HEROIN USERS AND NON-USERS-A CASE CONTROL STUDY

bjective: To compare heroin users with their age and gender matched relatives as regards non-invasive investigations like chest x-ray, electrocardiography (ECG) and 2D-echocardiography. Study Design: Case control study. Place and Duration o...

Beginning at the ends: telomeres and human disease [version 1; referees: 4 approved]

Studies of rare and common illnesses have led to remarkable progress in the understanding of the role of telomeres (nucleoprotein complexes at chromosome ends essential for chromosomal integrity) in human disease. Telomere biology disorders...

A Model to Predict Heart Disease Treatment Using Data Mining

Background and Aim: Nowadays heart disease is very common and is a major cause of mortality. Proper and early diagnosis of this disease is very important. Diagnostic methods and treatments of the disease are so expensive and have many side ...

Baseline Characteristics, Risk Factors and Etiology of Heart Failure Among Patients Hospitalized at a Teaching Hospital in Somalia: Cross-Sectional Study

Mohamed Farah Yusuf Mohamud,1 Mohamed Osman Omar Jeele,1 Osman Cetinkaya,1 Senai Goitom Sereke,2 Felix Bongomin,3 Mohamed AM Ahmed4– 6 1Mogadishu Somali Turkish Training and Research Hospital, Mogadishu, Somalia; 2School of Medicine, Colleg...

Receptor allostery promotes context-specific Sonic Hedgehog signaling during embryonic development

Abstract Sonic Hedgehog (SHH) signaling functions in temporal- and context-dependent manners to pattern diverse tissues during embryogenesis. The signal transducer Smoothened (SMO) is induced by sterols, oxysterols, and arachidonic acid (AA...

Piezo1 knockdown activates PI3K/AKT and enhances SPP1 to drive M2 macrophage polarization and reduce cardiac inflammation

Abstract Piezo1 plays a key role in the immune response during sepsis. To date, our understanding of the role of Piezo1 in inflammatory diseases has mostly been limited to influencing vasomotor function and regulating inflammatory infiltrat...

Artificial neural networks

Artificial neural networks now are used in many fields. They have become well established as viable, multipurpose, robust computational methodologies with solid theoretic support and with strong potential to be effective in any discipline, ...

Heart Disease Detection using ML and ES (Smart Wearable Health Monitoring System)

This paper proposed a smart wearable system for heart disease detection using machine learning and embedded systems. A smart wearable system that able to monitor the heart beat rate condition of patient. The heart beat rate is detected usin...

Single lead electrocardiographic detection of left ventricular systolic dysfunction in pediatric and congenital heart disease.