Science topic
Heart Diseases - Science topic
Pathological conditions involving the heart including its structural and functional abnormalities.
Publications related to Heart Diseases (10,000)
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Diabetic foot ulcers are moderately severe complications in patients with type 2 Diabetes Mellitus, with peripheral neuropathy and angiopathy often serving as risk factors. This study aimed to examine the clinical characteristics and risk factors linked to diabetic foot ulcers in type 2 diabetes mellitus individuals within the Pakistani demographic...
Kalp hastalıkları, dünya çapında önde gelen ölüm nedenlerinden biri olup, erken teşhis ve doğru tedavi planlaması hastaların yaşam kalitesi ve hayatta kalma oranları açısından kritik öneme sahiptir. Bu çalışma ile makine öğrenmesi algoritmalarının kalp hastalığı teşhisindeki performansının Weka platformunda kapsamlı biçimde incelenmesi amaçlanmakta...
Cardiovascular disease (CVD) is a primary cause of death in India, accounting for a significant portion of the global CVD burden. This study looks at statistics on heart disease mortality from the Institute for Health Metrics and Evaluation (IHME) from 1990 to 2021, divided into five age groups: 0–5, 6–15, 16–49, 50–69, and 70 + . We used both clas...
This study examines heart disease prediction using machine learning models, focusing on interpretability, leveraging a dataset of 1,319 entries containing nine health-related attributes. We applied One-dimensional Convolutional Neural Networks (1D CNN) and Logistic Regression for classification, achieving an overall accuracy of 80%. Our analysis in...
In the prevailing era of cardiovascular and chronic diseases, the causes of death seldom operate in isolation. We aim to assess the impact of distortions in statistically significant associations between causes of death on the overall structure of cause of death dependencies. Focusing on the causes of death for USA in 2019, we study all possible sc...
Background
Engaging in chronically stressful behaviours has been hypothesised to increase the risk of experiencing cardiovascular disease (CVD). Providing unpaid care is known to be a stressful activity, but it is not clear whether this caregiving is associated with CVD. This study filled a gap in the existing literature by examining the associatio...
: The heart disease considers as one of the fatal disease in many countries. The main reason is due to the approved methods of diagnostic are not available to the ordinary people. Many studies have been done to handle this case with the use of both methods of soft computing and machine learning. In this study, a hybrid binary dragonfly algorithm an...
The field of pediatric and congenital interventional cardiology is advancing rapidly, with recent innovations such as patent ductus arteriosus closure in premature infants, expanded options for transcatheter pulmonary valve replacement, ductal stenting for ductal-dependent lesions, and the development of novel, pediatric-specific devices. Despite t...
This technical report analyzes early mortality from heart disease, stroke, and diabetes in South Florida. It highlights racial and geographic disparities, calculates Years of Potential Life Lost (YPLL), and presents a cost-benefit model for mobile screening clinics. The report proposes a ZIP-code-based rollout and includes stakeholder insights, fol...
Objective
Unilateral upper lung field pulmonary fibrosis (UPF) is a possible complication on the operated side after lung cancer surgery. However, its incidence and associated perioperative factors remain unclear. This study investigated the clinical characteristics of patients with unilateral UPF after primary lung cancer surgery.
Methods
We revi...
Changes in the vascular system associated with aging contribute to conditions such as hypertension and atherosclerosis. In this study, we explored the prevalence and survival effects of vascular aging phenotypes in a Russian population, a group with a very high cardiovascular risk according to the SCORE2 scale. A cohort of 618 participants from thr...
Cardiovascular disease (CVD) continues to be a major global health concern, contributing significantly to morbidity and mortality rates. Early and accurate diagnosis of heart disease is crucial for timely intervention and improved patient outcomes. In this study, we present a robust machine learning framework enhanced through systematic hyperparame...
Background
This scoping review examines how biological sex has been considered in studies investigating the association between grip strength and cardiovascular outcomes and risk factors.
Methods
We used the Askey and O’Malley framework, reported as per the PRISMA extension for scoping reviews. A search was conducted in four electronic bibliograph...
Background: Matrix metalloproteinase 9 (MMP9) has recently emerged as a risk predictor in patients with cardiovascular diseases (CVD). However, little is known regarding the significance of elevated plasma MMP9 levels in patients during the long-term period following myocardial revascularisation. We aimed to investigate the role of MMP9 in relation...
Background: Cardiovascular disease (CVD) is the predominant cause of mortality in China. However, the mechanisms linking sarcopenia to CVD remain poorly understood, particularly in normal-weight populations. Individuals with the absence of overweight or obesity may tend to experience missed opportunities for timely intervention. This study aimed to...
Cardiovascular diseases (CVDs) are one of the primary reasons for death worldwide. These diseases often occur due to the occlusion of coronary arteries, thereby leading to insufficient blood and oxygen supply that damages cardiac muscle cells. Electrocardiogram (ECG) signals which reflect heart electrical activity are being used for diagnosing vari...
Background
Stroke, a prevailing global cause of mortality, is witnessing a surge in incidences, particularly in lower-income countries. However, existing guidelines fail to adequately address the impact of electrocardiogram (ECG) changes and ejection fraction on the outcomes of ischaemic stroke, as well as the management of stroke-heart syndrome....
CYP2C19 loss‐of‐function (LOF) alleles decrease the antiplatelet effect of clopidogrel following percutaneous coronary intervention (PCI) in patients presenting with acute coronary syndrome (ACS). The impact of genotype in patients undergoing PCI for stable ischemic heart disease (SIHD) in real‐world populations is less clear. We determined time to...
Background
It is unclear to what extent silent atrial fibrillation (AF) is present in subjects previously undiagnosed with AF. The recently popular 7‐day patch electrocardiography (ECG) monitoring may help answer this question.
Methods
In the Kitsuki and Usuki cities in Oita Prefecture, Japan, a study was conducted among subjects who underwent 7‐d...
Cardiovascular diseases (CVDs) remain the leading cause of death globally, accounting for approximately 17.9 million deaths each year. While diagnostic technologies have advanced, traditional methods often fail to detect early-stage heart disease, particularly in asymptomatic individuals. This study presents an intelligent, interpretable machine le...
Aim. Review of clinical, functional and hemodynamic status of patients with portopulmonary hypertension Materials and methods . Clinical cases of 40 patients with portopulmonary hypertension, who hospitalized in the department of pulmonary hypertension and heart diseases of the National Medical Research Centre of cardiology named after academician...
We investigate and identify several factors that have a major influence on strokes. The study involves a sample of 5,110 individuals from Spain. Participants ranged in age from 0 to 82, comprising 41.4% males and 58.6% females. Among the sample, 4.9% have experienced a stroke. The dataset provides detailed insights into several variables, including...
Introduction: Avoidable mortality, which can be categorized as preventable or treatable mortality, can be used to assess the performance of a healthcare system and identify priority interventions. The aim of this study is to examine mortality rates from cardiovascular disease (CVD) in Aktobe, Kazakhstan. Materials and Methods: We extracted data fro...
Introduction: Readmissions among COVID-19 patients increase healthcare burdens and resource utilization. Identifying risk factors can help mitigate this issue. This study aimed to determine the proportion and predictors of hospital returns among COVID-19 patients.
Materials and methods: A single-centre retrospective cohort study was conducted inv...
Introduction: Readmissions among COVID-19 patients increase healthcare burdens and resource utilization. Identifying risk factors can help mitigate this issue. This study aimed to determine the proportion and predictors of hospital returns among COVID-19 patients. Materials and methods: A single-centre retrospective cohort study was conducted invol...
This study develops a machine learning model for predicting heart disease risk using patient data, including demographics, medical history, and clinical measurements. Various algorithms such as Decision Trees, Support Vector Machines (SVM), and Neural Networks are evaluated for their predictive accuracy. The aim is to assist clinicians in early dia...
Congenital heart disease affects approximately 1% of children worldwide, with a number of cases in resource-limited settings remaining undiagnosed through school age. While cardiac auscultation is a key screening method, its effectiveness varies widely, depending on practitioner expertise. This study introduces an innovative artificial intelligence...
Electrical communication in the heart is crucial for maintaining normal cardiac function. Traditionally, gap junctional coupling between cardiomyocytes has been accepted as the primary mechanism governing electrical propagation in the heart. However, numerous studies have demonstrated that gap junctions are also present between different cell types...
Cardiovascular disease continues to be a major issue in the medical field, because of its high rates of occurrence and death. A lot of work has gone into lowering death rates and lessening its effects. This study suggests a deep learning model that is ensemble-based and uses a variety of individual clinical and laboratory characteristics to predict...
O artigo analisa a relação entre o uso de antidepressivos e o risco cardiovascular, especialmente em pessoas sem histórico de doenças cardíacas. A pesquisa bibliográfica aponta que alguns antidepressivos, como os tricíclicos, podem aumentar o risco de arritmias, hipertensão e morte súbita, sobretudo em idosos e mulheres. Apesar disso, antidepressiv...
Introduction: diabetes mellitus and hypertension are interrelated diseases that strongly promote the spread of atherosclerotic cardiovascular disease within populations. The prevalence of hypertension doubles in the presence of diabetes and is associated with 35-75% of diabetic cardiovascular and renal complications, which is why the aim of this st...
Background
Sedentary lifestyles contribute to the rise of non-communicable diseases, making physical activity (PA) crucial for public health. Pre-exercise screening is an important tool for ensuring safety, but its utilization and the factors influencing its adoption need further exploration.
Objective
This study assesses the utilization of pre-ex...
Objectives: The need for early postoperative rehabilitation in patients with congenital heart disease (CHD) is increasing. However, rehabilitation settings in the pediatric intensive care unit (PICU) are usually determined subjectively by therapists. To address the lack of objective measurements, we sought to determine the effectiveness of near-inf...
Background
Echocardiography is widely used to breed‐screen cats for the presence of heart disease. Left‐sided cardiac dimensions are non‐linearly related to body weight (BW), but the association with signalment variables is incompletely evaluated.
Objective
To validate previously published prediction equations (PE) and 95% prediction intervals (PI...
Due to the increase in the number of early cardiac groups in today's society, there is no complete screening and rehabilitation process for early cardiac groups at the social level. This paper mainly studies the whole process of screening methods and sports rehabilitation methods to improve the quality of life of patients and help the body recover....
Coronary heart disease, fully known as coronary atherosclerotic heart disease, refers to a heart disease caused by atherosclerosis in the coronary arteries, leading to lumen stenosis or occlusion and resulting in myocardial ischemia or necrosis. Currently, both traditional Chinese medicine and Western medicine have certain understandings and advant...
Abstract:- Beetroot, a vibrant red vegetable, has
emerged as a promising natural remedy for various
health conditions, particularly cardiovascular diseases.
Rich in essential nutrients, minerals, and unique plant
compounds, beetroot offers a holistic approach to
promoting overall well-being. This comprehensive
analysis delves into the pharmacologic...
Purpose
A standardized anorectal malformation (ARM) perioperative protocol was implemented across two pediatric tertiary hospitals. The protocol addressed antibiotic duration, feeding advancement, VACTERL workup, and wound management. We aim to evaluate complications, length of stay (LOS), and protocol compliance.
Methods
Introduced in June 2020,...
Atividade física contribui na prevenção de doenças crônicas não transmissíveis e promoção de saúde. Objetivou-se avaliar perfil dos participantes de programa de exercícios físicos em espaço público de lazer, em Corumbá-MS, região fronteiriça Brasil-Bolívia, nos aspectos socioeconômicos/demográficos, hábitos de vida/saúde e aspectos motivacionais/mu...
Small intestine tumors, though rare, have shown a concerning increase in incidence and mortality in recent years. This study aimed to investigate the historical trends in histological composition and causes of death among patients with small intestine tumors using the SEER database. A total of 18,234 patients diagnosed with primary small intestine...
Background
This study aimed to investigate the relationship between short-term blood pressure variability (BPV) and anticholinergic burden (ACB) in adults with hypertension.
Methods
This study included 238 hypertensive patients aged 50 and older who underwent ambulatory blood pressure monitoring. The medications used by the patients were recorded,...
Background and Objectives: Stroke is a common and fatal condition impacting millions worldwide. Understanding the risk factors, symptoms, and consequences at an earlier stage, specifically in highly at-risk populations such as smokers, is crucial for mitigating the stroke burden. Materials and Methods: A cross-sectional study was conducted in Saudi...
A excursão sistólica do plano anular mitral (MAPSE), um parâmetro que pode ser obtido a partir da ecocardiografia transtorácica ou ressonância nuclear magnética (RNM), é capaz de refletir a função sistólica longitudinal do ventrículo esquerdo (VE), podendo se alterar de forma mais precoce que a fração de ejeção do VE (FEVE), estimada por métodos us...
Background
This systematic review aimed to estimate relative risks for incident ischemic heart disease (IHD), myocardial infarction (MI), and stroke in relation to long-term road traffic noise exposure and to evaluate exposure–response functions.
Methods
We systematically searched databases for longitudinal studies in humans on incident IHD, MI, a...
Modern healthcare systems now rely on Artificial Intelligence (AI) which has made early detection of diseases one of the most promising applications for medicine. It is very important to quickly diagnose diseases since this improves patients' recovery, saves money on treatments and helps healthcare to work more smoothly. In this paper, we discuss h...
Hypertension is a chronic disease with a high prevalence that can cause complications such as stroke and heart disease. Management of hypertension relies heavily on self-management, but many patients face obstacles such as lack of knowledge, low motivation, and minimal family support. These obstacles can interfere with blood pressure control and in...
Cancer is the second most common cause of death worldwide after heart disease. If a tumor and its types are identified correctly in the initial phase, it can be treated immediately, and the person's life can be saved. Keeping this in mind, designing and implementing advanced, optimized deep learning models for accurate detection and classification...
The Multiple Disease Prediction System (MDPS) employs machine learning techniques—specifically Support Vector Machines (SVM) and Logistic Regression—to detect various diseases within a single platform. This system is implemented using the Django web framework, offering a user-centric interface for improved accessibility. The primary goal is to supp...
Cardiovascular disease (CVD) remains a leading global health concern, accounting for approximately 31.5% of deaths worldwide. According to the World Health Organization (WHO), over 20.5 million people succumb to CVD each year—a figure projected to rise to 24.2 million by 2030. Early diagnosis is critical and can be facilitated by monitoring key ris...
Introduction: Considering two of the major pillars of performance comparison, theoretically (principles and feasibility) and practically (standardized and comparative indicators, and what our reporting possibilities are), a pyramid can be conceived. The apex is reserved for the few best hospitals, while the base is shared by other hospitals, which...
Every year, Muslims observe fasting during the month of Ramadan, refraining from eating and drinking from sunrise to sunset for about a month. Fasting for more than 12 hours can be a concern, especially for people with certain diseases such as cardiovascular disorders. Unfortunately, the availability of research and medical guidelines on the safety...
K-Means is one of the most widely used clustering algorithms due to its simplicity, scalability, and computational efficiency. However, its practical application is often hindered by several well-known limitations, such as high sensitivity to initial centroid selection, inconsistency across different runs, and suboptimal performance when dealing wi...
INTRODUCTION
Understanding the impact of cardiometabolic diseases (CMDs) on dementia risk can inform primary preventative measures.
METHODS
We leveraged a nationwide, population‐based Medicare dataset of 20,789,037 beneficiaries (756,321 with incident dementia and 20,032,716 controls) from 2017 to compute the individual and combined population att...
The link between education and recovery from cardiovascular diseases is well-established, yet the relationship between the educational attainment of social network members and the development of these conditions remains underexplored. This study examines how the educational composition of social ties correlates with cardiac biomarkers. This study u...
Background
Ischemic heart disease (IHD) is the leading cause of death of non-communicable diseases globally, presenting with particularly prominent metabolic risk associated with kidney dysfunction in the middle-aged and older populations. Accordingly, the present study intended to clarify trends in IHD burden attributable to kidney dysfunction fro...
Inderprastha Engg College Ghaziabad 1 ABSTRACT: Heart disease continues to be a major global health issue, highlighting the demand for advanced tools to support early detection and prevention. This review examines the current state of heart disease prediction models that utilize machine learning techniques, focusing on hybrid approaches that integr...
Worldwide, heart disease is a major reason why people die. Identifying a condition as early and correctly as possible improves how patients respond to treatment. Older machine learning approaches encounter problems with complex and multi-format medical data. The model in this paper combines Generative AI, XGBoost, CNN and DIP with GNN to predict he...
Arrhythmia is a cardiac disorder in which the normal blood pumping activity of the heart becomes irregular. This heart malfunction can result in serious heart disease and even death. Therefore, detection and proper treatment of arrhythmia are essential. The abnormal heart behaviour can be recorded using an electrocardiogram (ECG). A one-dimensional...
Background: Myokines may act as protective or causative factors in the pathogenesis of cardiovascular diseases. Conflicting data have been published regarding abnormal levels of myokines in both angina pevtoris and heart failure (HF) patients.
Hong Zhi Chengyi Xu Hua Yan- [...]
Li Liu
Studies have shown that the occurrence and mortality of ischemic heart disease (IHD) in young women aged 35–54 years have increased despite improving trends globally among the general population. Common risk factors such as hypertension, hyperlipidemia, diabetes and smoking play an important role in the occurrence of IHD, but some rare causes that...
The heartbeats classification represents a very important tool in cardiology. Deep learning-based techniques for the analysis of ECG signals aid human experts in the appropriate diagnosis of cardiac diseases. This paper presents a two-dimensional deep learning technique for ECG heartbeats classification based on a convolutional neural network (CNN)...
Background: The prevalence of cardiovascular diseases (CVD) is high worldwide. Occupational therapy (OT) allows individuals to participate in activities of daily living (ADLs) and improves their quality of life. However, whether OT improves health-related quality of life (HRQOL), ADLs, fatigue, occupational performance, rehospitalization, and morta...
Purpose
In 177 patients with ischemic heart disease and elevated periosteal pain sensitivity of the chest bone indicative of autonomic nervous system dysfunction, we test the hypotheses, (i) there is an association between the tilt table responses for the baroreflex-mediated cardiovascular response heart rate variability and periosteal pain sensiti...
Introduction: Hypertension is the most prominent established risk factor for adverse cardiovascular outcomes. The influence of hypertension in combination with other major cardiovascular disease risk factors (CVD-RFs) on mortality and cardiovascular events has not been fully comprehended yet due to their overlapping and interconnected nature. This...
The Mediterranean eating routine is a good dieting plan. In the Mediterranean region, few prospective studies examine the association between these dietary model and nonfatal cardiovascular proceedings. It monitored 127 initially healthy individuals for four years. The participants in this research were candidates from universities throughout the w...
The intricate interplay between physical training and non-coding RNAs, specifically microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), has attracted considerable attention in understanding physiological adaptations and pathological conditions. Both miRNAs and lncRNAs are essential modulators of gene expression, influencing various cellular proc...
In standard 12-lead electrocardiography, the peak time or intrinsicoid deflection is defined as the activation time of the ventricular muscle lying under the exploratory electrode. It serves as an easy measurable parameter used in the diagnosis of cardiac diseases related to disturbed or delayed ventricular activation. The aim of this study was to...
Heart disease using ML
The prediction of cardiac disease helps experts make precise and more accurate decisions, relating to patients' health. Therefore, the use of machine learning (ML) could be an answer to cut back and perceive the symptoms regarding heart disease. The aim of this article is the proposal of a dimensionality reduction technique and finding features of...
Understanding the structure and motion of the heart is crucial for diagnosing and managing cardiovascular diseases, the leading cause of global death. There is wide variation in cardiac shape and motion patterns, influenced by demographic, anthropometric and disease factors. Unravelling normal patterns of shape and motion, and understanding how eac...
Pulmonary hypertension (PH) is a heterogenous disease. Left heart disease and chronic lung disease are the most common etiologies. Comorbidities, aging population, different pulmonary arterial hypertension phenotypes, and occult groups that show PH with exercise challenge, new molecular mechanisms for pathogenesis, and use of hemodynamic indices ha...
Heart disease is one of the major causes of death worldwide, and the traditional diagnostic procedures typically cause delays in treatment, particularly in low-resource regions. In this article, we propose a novel IoT-based Quantum Kernel-Enhanced Sardine Diffusion Attention Network (Qua-KSar-DCK-ArNet) for real-time prediction of heart disease. Th...
Arrhythmias originating from the specialised cardiac conduction system and papillary muscles can occur in both structurally normal and diseased hearts. Conduction system associated arrhythmias include bundle branch re-entry, fascicular re-entry, non-re-entrant fascicular ventricular tachycardia and idiopathic ventricular fibrillation. Each type of...
Machine learning (ML) and artificial intelligence (AI) are proven to be useful tools in medicine, in diagnosing, predicting and evaluating diseases; Heart failure (HF) being a clinical syndrome has the challenge of being difficult to diagnosis and asses in the early stages of the disease or coexisting with other chronic diseases.
Objective: This s...
Limited data exist on the quality of anticoagulation in patients approaching the end of life. This study evaluated vitamin K antagonist (VKA) anticoagulation control during the last year of life, using nationwide data from Statistics Netherlands, linked to anticoagulation clinics' data and the Netherlands Cancer Registry. We included prevalent VKA...
Purpose
Various anatomical variations in the branching pattern of the external carotid arteries are known to occur with significant frequency and have been documented in published literature. The purpose of this case report is to document and discuss variations in the branching patterns of the external carotid artery as seen in an anatomical donor...
Electrocardiogram (ECG) is a graphical representation of the electrical activity of the heart and plays a crucial role in diagnosing heart disease and assessing cardiac function. In the context of infectious diseases, ECG classification is particularly critical, as many infections, such as viral myocarditis and sepsis, can cause significant cardiac...
Resumo Visando contribuir para o fortalecimento da Atenção Primária à Saúde de uma Unidade Básica de Saúde (UBS) no interior do Ceará, o presente trabalho avaliou e estratificou o risco cardiovascular de pacientes com hipertensão e/ou diabetes, pertencentes à área de abrangência da Estratégia de Saúde da Família de uma das UBSs localizadas na cidad...
Cardiovascular diseases are the main cause of death and disability in the clinical setting. Among several pathological conditions, myocardial infarction (MI) is a common clinical finding and happens due to the reduction or complete interruption of blood support. Stem cells and progenitors are valid cell sources with significant potential to allevia...
Background: As the terminal stage of cardiovascular disease, heart failure (HF) has garnered significant attention due to its recurrent nature, high mortality rates, and substantial medical burden. Shared decision-making (SDM) is an innovative strategy to improve medication adherence. From positive psychology insights, the effects on spirituality,...
The estimation of cardiac disease is big task that can considered to be crucial in the field of health care today since the number of persons who pass away from a heart attack increases with each passing minute. When doctors have a large number of patient's medical information, it is difficult for them to forecast cardiac disease. We should create...
This case study examines the anaesthesia management of a 22-year-old female with congenital cyanotic heart disease
(CCHD) and a hyper-vascular adrenal lesion suggestive of pheochromocytoma, who underwent robotic-assisted surgery. The patient’s complex
history , mixing lesion including single ventricle physiology with and reduced pulmonary blood flo...
Background and Objectives: Over the past decades, various epidemiological analyses have reported a significant decrease in the number of deaths related to cardiovascular diseases (CVDs). Trends in acute myocardial infarction (AMI) morbidity and mortality from ischemic heart disease (IHD) were less studied in Eastern and Central Europe. This study a...
Heart Disease Risk Prediction Using Machine Learning
1st International research conference on transformative applied research (ICTAR 2024)
proceedings NSBM - Green University, Homagama,Sri Lanka · Jan 31, 2025
This study aims to predict the risk of heart disease using machine learning. ICTAR
NSBM Proceedings - page number 212 (ICTAR-2024-CMT-ID-179...
To investigate relationships between unplanned readmissions and social determinants of health in pediatric cardiac disease. Retrospective cohort study of pediatric (< 18 years) cardiac admissions in the Pediatric Health Information System (1/2019–3/2023). Social determinants included Child Opportunity Index (lower opportunity indicates fewer neighb...
Purpose More adolescents with congenital heart disease (CHD) are reaching adulthood and reproductive age. They face challenges transitioning from pediatric to adult health care and need to manage their health and developmental goals. The 2030 Agenda emphasizes a holistic approach to sexual and reproductive health rights (SRHR), aiming to provide ac...
In the today's world Heart disease prediction is a critical challenge. Machine learning (ML) is effective in making some predictions from the huge quantity of data created by the healthcare industry and decisions. The health care industry contains large amount of medical data, therefore machine learning algorithms are necessary to make decisions ef...
Statins are a cornerstone of cardiovascular risk reduction. Nevertheless, non-acceptance of statin therapy recommendations by patients at high cardiovascular risk is common. The reasons for statin non-acceptance have not been well established. We conducted a manual record review of a randomly selected set of patients who did not accept statin thera...
Aim . To assess the changes and variability of standardized mortality rates (SMR) from various types of chronic ischemic heart disease (CIHD) in the Russian Federation and its regions in 2014-2023.
Material and methods . The Rosstat data analysis of CIHD mortality for 2014-2023 was carried out in accordance with the Rosstat Brief Nomenclature of D...
Diabetes mellitus, a chronic metabolic disorder, affects millions of people globally, leading to significant health complications such as heart disease, kidney failure, and vision loss. The increasing prevalence of diabetes calls for more effective methods to monitor, diagnose, and predict disease progression. Traditional methods of diagnosing and...
In the contemporary era, numerous challenges encountered by humanity can be mitigated through the integration of computer science and artificial intelligence. A plethora of diseases that result in human mortality can be predicted and treated with artificial intelligence. In the field of cardiovascular diseases, cardiac arrhythmia has been identifie...
This study presents a machine learning-based framework for heart disease prediction using the heart-disease dataset, comprising 303 samples with 14 features. The methodology involves data preprocessing, model training, and evaluation using three classifiers: Logistic Regression, K-Nearest Neighbors (KNN), and Random Forest. Hyperparameter tuning wi...
Objectives: India has the second highest number of Type 2 diabetes mellitus (T2DM) cases, with several known complications including heart disease, stroke, hypertension, atherosclerosis, neuropathy etc. In a considerable number of diabetics, cognitive impairment is found. This prevalent complication is an alarming one. There has been an insufficien...
Purpose
SGLT2i role in the treatment of heart failure (HF) regardless of clinical presentation and left ventricular ejection fraction (LVEF) has been widely proven and real-world data regarding patients with HF and ischemic heart disease (IHD) and, in particular with recent acute coronary syndrome (ACS) and de novo HF, are lacking. We aim to evalua...
Obesity is a multifaceted condition that not only affects physical well-being but also has considerable psychological repercussions. Significant weight gain can result in various mental health challenges, with issues like low self-esteem and body image concerns being prevalent, alongside depression and anxiety. The stigma and discrimination encount...
Background: Heart failure with preserved (HFpEF) and mildly reduced ejection fraction (HFmrEF) are reported to account for nearly 50% of acute heart failure (AHF) hospitalizations. The clinical presentation of HFpEF is often reported to mirror that of heart failure with reduced ejection fraction (HFrEF), including signs of systemic congestion. Howe...
Public health is seriously threatened by the rising consumption of packaged foods, which is fueled by convenience and urbanization, especially in developing nations like Bangladesh. This study looks at how packaged food affects health, with a particular emphasis on how it contributes to the growth in diabetes, obesity, and heart disease. We examine...
Objective
Placental vascular development is critical for maternal‐fetal exchange, and altered fetal cardiovascular physiology in congenital heart disease (CHD) may impact placental circulation. This study aimed to assess whether SlowflowHD imaging technology could qualitatively evaluate alterations in placental vascular structure in CHD.
Methods
A...