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  • Open Access

    ARTICLE

    Multifactorial Disease Detection Using Regressive Multi-Array Deep Neural Classifier

    D. Venugopal1, T. Jayasankar2,*, N. Krishnaraj3, S. Venkatraman4, N. B. Prakash5, G. R. Hemalakshmi5

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 27-38, 2021, DOI:10.32604/iasc.2021.015205

    Abstract Comprehensive evaluation of common complex diseases associated with common gene mutations is currently a hot area of human genome research into causative new developments. A multi-fractal analysis of the genome is performed by placing the entire DNA sequence into smaller fragments and using the chaotic game representation and systematic methods to calculate the general dimensional spectrum of each fragment. This is a time consuming process as it uses floating point to represent large data sets and requires processing time. The proposed Regressive Multi-Array Deep Neural Classifier (RMDNC) system is implemented to reduce the computation time, it is called a polymorphic… More >

  • Open Access

    ARTICLE

    Fusion-Based Machine Learning Architecture for Heart Disease Prediction

    Muhammad Waqas Nadeem1,2, Hock Guan Goh1,*, Muhammad Adnan Khan3, Muzammil Hussain4, Muhammad Faheem Mushtaq5, Vasaki a/p Ponnusamy1

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2481-2496, 2021, DOI:10.32604/cmc.2021.014649

    Abstract The contemporary evolution in healthcare technologies plays a considerable and significant role to improve medical services and save human lives. Heart disease or cardiovascular disease is the most fatal and complex disease which it is hardly to be detected through our naked eyes, as numerous people have been suffering from this disease globally. Heart attacks occur when the ranges of vital signs such as blood pressure, pulse rate, and body temperature exceed their normal values. The efficient diagnosis of heart diseases could play a substantial role in the field of cardiology, while diagnostic time could be reduced. It has been… More >

  • Open Access

    ARTICLE

    Smart CardioWatch System for Patients with Cardiovascular Diseases Who Live Alone

    Raisa Nazir Ahmed Kazi1,*, Manjur Kolhar2, Faiza Rizwan2

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1237-1250, 2021, DOI:10.32604/cmc.2020.012707

    Abstract The widespread use of smartwatches has increased their specific and complementary activities in the health sector for patient’s prognosis. In this study, we propose a framework referred to as smart forecasting CardioWatch (SCW) to measure the heart-rate variation (HRV) for patients with myocardial infarction (MI) who live alone or are outside their homes. In this study, HRV is used as a vital alarming sign for patients with MI. The performance of the proposed framework is measured using machine learning and deep learning techniques, namely, support vector machine, logistic regression, and decision-tree classification techniques. The results indicated that the analysis of… More >

  • Open Access

    ARTICLE

    Use of Implantable Cardioverter-Defibrillators in Congenital Heart Disease and Pediatric Patients: Results from the German National Registry for Congenital Heart Defects

    Coralie Katharina Dicks1, Gerhard-Paul Diller1, Kristina Wasmer2, Paul C. Helm3,4, Ulrike M. M. Bauer3,4, Helmut Baumgartner1, Stefan Orwat1,#, Alicia Jeanette Fischer1,#,*

    Congenital Heart Disease, Vol.15, No.2, pp. 117-125, 2020, DOI:10.32604/CHD.2020.011520

    Abstract Background: Sudden cardiac death is a leading cause of death in patients with congenital heart disease (CHD). Risk stratification for implantable cardioverter defibrillators (ICD) remains difficult due to limited data about use and outcome of device therapy in CHD patients in larger community-based cohorts. Methods and results: Out of a dataset with more than 50,000 patients registered at the German National Register for Congenital Heart Defects, 109 patients (median age 35.5; IQR 23.75–46.00), 68 (62%) male) with an ICD were identified and were retrospectively analyzed. Although the number of implantations increased steadily throughout the investigated time interval from 2001 to… More >

  • Open Access

    ARTICLE

    Assessing Univentricular Function in Adult Fontan Using 3D Echocardiography

    Karina V. Bunting1,2,*, Francesco Formisano3, Jennifer Green1, Richard P. Steeds1,2, Lucy Hudsmith1, Paul Clift1,2

    Congenital Heart Disease, Vol.15, No.2, pp. 89-100, 2020, DOI:10.32604/CHD.2020.011376

    Abstract Objective: To determine the accuracy of assessing univentricular function in adult Fontan patients using three-dimensional (3D) volumetric echocardiography. Design: A prospective observational study in an adult Fontan patient cohort. Setting: University Hospitals Birmingham, NHS Foundation Trust. Patients: 26 patients were enrolled in the study all aged over 18 years, possessing the Fontan anatomy, with no contraindications to Cardiac Magnetic Resonance (CMR) imaging and in sinus rhythm. Intervention: All patients underwent transthoracic echocardiography using a Philips EPIQ 7 and X5-1 transducer. End diastolic volume (EDV), end systolic volume (ESV), stroke volume (SV) and ejection fraction (EF) were obtained using two dimensional… More >

  • Open Access

    ARTICLE

    Behavioral Feature and Correlative Detection of Multiple Types of Node in the Internet of Vehicles

    Pengshou Xie1, Guoqiang Ma1, *, Tao Feng1, Yan Yan1, 2, Xueming Han1

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1127-1137, 2020, DOI:10.32604/cmc.2020.09695

    Abstract Undoubtedly, uncooperative or malicious nodes threaten the safety of Internet of Vehicles (IoV) by destroying routing or data. To this end, some researchers have designed some node detection mechanisms and trust calculating algorithms based on some different feature parameters of IoV such as communication, data, energy, etc., to detect and evaluate vehicle nodes. However, it is difficult to effectively assess the trust level of a vehicle node only by message forwarding, data consistency, and energy sufficiency. In order to resolve these problems, a novel mechanism and a new trust calculating model is proposed in this paper. First, the four tuple… More >

  • Open Access

    ARTICLE

    Cardiovascular risk factors in adults with coarctation of the aorta

    Maria Fedchenko, Zacharias Mandalenakis, Helena Dellborg, Görel Hultsberg‐Olsson, Anna Björk, Peter Eriksson, Mikael Dellborg

    Congenital Heart Disease, Vol.14, No.4, pp. 549-558, 2019, DOI:10.1111/chd.12785

    Abstract Background: The aging patient with adult congenital heart disease (ACHD) faces the risk of developing atherosclerotic disease. Patients with coarctation of the aorta (CoA) are especially vulnerable because of an inherent high risk of developing hy‐ pertension. However, data on the prevalence of other cardiovascular risk factors are scarce. Therefore, this study aimed to describe the prevalence of traditional cardio‐ vascular risk factors (diabetes, hypertension, hyperlipidemia, smoking, obesity, and sedentary lifestyle) in adult patients with CoA.
    Methods: Patients with CoA who were registered at the ACHD clinic in Gothenburg were asked to participate in a comprehensive cardiovascular risk assessment. This… More >

  • Open Access

    ARTICLE

    Long‐term follow‐up of adult patients with congenital heart disease and an implantable cardioverter defibrillator

    Madalena Coutinho Cruz1, André Viveiros Monteiro1, Guilherme Portugal1, Sérgio Laranjo2, Ana Lousinha1, Bruno Valente1, Paulo Osório1, Pedro Silva Cunha1, Lídia de Sousa1, José Alberto Oliveira1, Ana Agapito1, Mário Martins Oliveira1, Fátima Pinto2, Rui Cruz Ferreira1

    Congenital Heart Disease, Vol.14, No.4, pp. 525-533, 2019, DOI:10.1111/chd.12767

    Abstract Objective: Sudden cardiac death is common in the adult congenital heart disease (ACHD) population. Knowledge and experience about the use of implantable cardio‐ verter defibrillators (ICD) in ACHD patients is very limited. We aimed to characterize a cohort of patients with ACHD and ICDs.
    Design: Thirty consecutive ACHD patients submitted to an ICD implantation in a single tertiary center were evaluated. Data on baseline clinical features, heart defect, indication for ICD, type of device, appropriate therapies, ICD‐related complication, and mortality during follow‐up were collected.
    Results: Of the 30 patients, 56.7% received appropriate therapies due to ventricular tachycardia (VT) or ventricular… More >

  • Open Access

    REVIEW

    Cardiovascular adaptation to the Fontan circulation

    Gruschen R. Veldtman1, Alexander R. Opotowsky2, Samuel G. Wittekind1, Jack Rychik3, Daniel J. Penny4, Mark Fogel3, Bradley S. Marino5, Marc Gewillig6

    Congenital Heart Disease, Vol.12, No.6, pp. 699-710, 2017, DOI:10.1111/chd.12526

    Abstract Although medium-term survival following Fontan operations in the modern era has improved dramatically, late cardiovascular and extracardiac morbidity are common and are associated with impaired quality of life and premature late mortality. This serves as a reminder of the extraordinary adaptations required of the cardiovascular system when the systemic arterial, systemic venous and pulmonary circulations are placed in series coupled to a single ventricular pump. This article reviews the key features and principles that govern interactions between the ventricle, systemic arterial circulation, the systemic venous and pulmonary circulatory compartments, the microcirculation, and lymphatic circulations. The overarching aim is to provide… More >

  • Open Access

    ARTICLE

    Knowledge-based reconstruction for measurement of right ventricular volumes on cardiovascular magnetic resonance images in a mixed population

    Elise D. Pieterman1,2, Ricardo P. J. Budde2, Danielle Robbers-Visser1,2, Ron T. van Domburg3, Willem A. Helbing1,2

    Congenital Heart Disease, Vol.12, No.5, pp. 561-569, 2017, DOI:10.1111/chd.12484

    Abstract Objective: Follow-up of right ventricular performance is important for patients with congenital heart disease. Cardiac magnetic resonance imaging is optimal for this purpose. However, observerdependency of manual analysis of right ventricular volumes limit its use. Knowledge-based reconstruction is a new semiautomatic analysis tool that uses a database including knowledge of right ventricular shape in various congenital heart diseases. We evaluated whether knowledge-based reconstruction is a good alternative for conventional analysis.
    Design: To assess the inter- and intra-observer variability and agreement of knowledge-based versus conventional analysis of magnetic resonance right ventricular volumes, analysis was done by two observers in a mixed… More >

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