B. Ramesh, Kuruva Lakshmanna^*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2513-2528, 2023, DOI:10.32604/cmes.2023.028944

Abstract Major chronic diseases such as Cardiovascular Disease (CVD), diabetes, and cancer impose a significant burden on people and healthcare systems around the globe. Recently, Deep Learning (DL) has shown great potential for the development of intelligent mobile Health (mHealth) interventions for chronic diseases that could revolutionize the delivery of health care anytime, anywhere. The aim of this study is to present a systematic review of studies that have used DL based on mHealth data for the diagnosis, prognosis, management, and treatment of major chronic diseases and advance our understanding of the progress made in this rapidly developing field. Type 2… More > Graphic Abstract

Saleh Ateeq Almutairi^*

Computer Systems Science and Engineering, Vol.47, No.2, pp. 2599-2624, 2023, DOI:10.32604/csse.2023.041609

Abstract Heart disease is a primary cause of death worldwide and is notoriously difficult to cure without a proper diagnosis. Hence, machine learning (ML) can reduce and better understand symptoms associated with heart disease. This study aims to develop a framework for the automatic and accurate classification of heart disease utilizing machine learning algorithms, grid search (GS), and the Aquila optimization algorithm. In the proposed approach, feature selection is used to identify characteristics of heart disease by using a method for dimensionality reduction. First, feature selection is accomplished with the help of the Aquila algorithm. Then, the optimal combination of the… More >

Ingo Paetsch^1,*, Roman Gebauer², Christian Paech², Frank-Thomas Riede², Sabrina Oebel¹, Andreas Bollmann¹, Christian Stehning³, Jouke Smink⁴, Ingo Daehnert², Cosima Jahnke¹

Congenital Heart Disease, Vol.18, No.3, pp. 279-294, 2023, DOI:10.32604/chd.2023.029634

Abstract Background: In congenital heart disease (CHD) patients, detailed three-dimensional anatomy depiction plays a pivotal role for diagnosis and therapeutical decision making. Hence, the present study investigated the applicability of an advanced cardiovascular magnetic resonance (CMR) whole heart imaging approach utilizing nonselective excitation and compressed sensing for anatomical assessment and interventional guidance of CHD patients in comparison to conventional dynamic CMR angiography. Methods: 86 consecutive pediatric patients and adults with congenital heart disease (age, 1 to 74 years; mean, 35 years) underwent CMR imaging including a free-breathing, ECG-triggered 3D nonselective SSFP whole heart acquisition using compressed SENSE (nsWHcs). Anatomical assessability and… More >

Siegfried Geyer^1,*, Claudia Dellas², Thomas Paul², Matthias Müller², Kambiz Norozi^2,3,4

Congenital Heart Disease, Vol.18, No.3, pp. 337-348, 2023, DOI:10.32604/chd.2023.028827

Abstract Objectives: To examine whether patients with congenital heart disease (CHD) are less likely to have a partner or children than individuals from the general population. Methods: Longitudinal study with two assessments of the same patients (n = 244) from a hospital population and controls (n = 238) from the German Socio-Economic Panel (GSOEP) using parental education, patients age, and sex as matching criteria. The first patient study was conducted between 5/2003 and 6/2004, the second one between 5/2017 and 4/2019. Controls were drawn from GSOEP-surveys 2004 and 2018. CHD-severity was classified according to type of surgery: curative, reparative, or palliative.… More > Graphic Abstract

Jae Gun Kwak¹, Eung Re Kim², Taeyoung Yun¹, Sungkyu Cho¹, Chang-Ha Lee², Woong-Han Kim^1,*

Congenital Heart Disease, Vol.18, No.3, pp. 325-336, 2023, DOI:10.32604/chd.2023.027758

Abstract Objectives: To access the effectiveness of our modified right-ventricular overhauling procedure on tricuspid valve (TV) growth in patients with pulmonary atresia with intact ventricular septum (PAIVS). Methods: We retrospectively reviewed 21 patients with PAIVS who underwent modified right ventricular overhauling (mRVoh) between 2008 and 2019 at two institutions. Our mRVoh consisted of wide resection of hypertrophied infundibular and trabecular muscle, peeling off fibrotic endocardial tissue in the right ventricle (RV) cavity, surgical pulmonary valvotomy, and Blalock-Taussig shunt or banding of ductus arteriosus under cardiopulmonary bypass. The TV annulus sizes were measured and analyzed using echocardiography before and after mRVoh. Results:… More > Graphic Abstract

Daniel Sweeney¹, Scott Cohen^2,3, Salil Ginde^2,3, Jennifer Gerardin^2,3, Peter Bartz^2,3, Matthew Buelow^2,3,*

Congenital Heart Disease, Vol.18, No.3, pp. 315-323, 2023, DOI:10.32604/chd.2023.027349

Abstract Background: Women with congenital heart disease (CHD) have increased risk for adverse events during pregnancy and delivery. Prior studies have assessed pregnancy and delivery outcomes at tertiary referral centers (TRC). The aim of our study was to assess pregnancy outcomes in women with CHD who deliver in a non-tertiary referral center (non-TRC). Methods: Clinical demographics were collected, including anatomic complexity, physiologic state and pre-pregnancy risk assessment. Patients were stratified by delivery location, either TRC or non-TRC. Maternal and neonatal complications of pregnancy were reported. Results: Women with CHD who delivered in a TRC had a higher pre-pregnancy risk when assessed… More > Graphic Abstract

S. Sivasubramaniam^*, S. P. Balamurugan

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 111-126, 2023, DOI:10.32604/iasc.2023.035199

Abstract Tongue image analysis is an efficient and non-invasive technique to determine the internal organ condition of a patient in oriental medicine, for example, traditional Chinese medicine (TCM), Japanese traditional herbal medicine, and traditional Korean medicine (TKM). The diagnosis procedure is mainly based on the expert's knowledge depending upon the visual inspection comprising color, substance, coating, form, and motion of the tongue. But conventional tongue diagnosis has limitations since the procedure is inconsistent and subjective. Therefore, computer-aided tongue analyses have a greater potential to present objective and more consistent health assessments. This manuscript introduces a novel Simulated Annealing with Transfer Learning… More >

Wasif Akbar¹, Adbul Mannan², Qaisar Shaheen^3,*, Mohammad Hijji⁴, Muhammad Anwar⁵, Muhammad Ayaz⁶

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6269-6286, 2023, DOI:10.32604/cmc.2023.036141

Abstract Machine Learning (ML) has changed clinical diagnostic procedures drastically. Especially in Cardiovascular Diseases (CVD), the use of ML is indispensable to reducing human errors. Enormous studies focused on disease prediction but depending on multiple parameters, further investigations are required to upgrade the clinical procedures. Multi-layered implementation of ML also called Deep Learning (DL) has unfolded new horizons in the field of clinical diagnostics. DL formulates reliable accuracy with big datasets but the reverse is the case with small datasets. This paper proposed a novel method that deals with the issue of less data dimensionality. Inspired by the regression analysis, the… More >

Shahid Mohammad Ganie¹, Pijush Kanti Dutta Pramanik², Majid Bashir Malik³, Anand Nayyar⁴, Kyung Sup Kwak^5,*

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3993-4006, 2023, DOI:10.32604/csse.2023.035244

Abstract Cardiovascular disease is among the top five fatal diseases that affect lives worldwide. Therefore, its early prediction and detection are crucial, allowing one to take proper and necessary measures at earlier stages. Machine learning (ML) techniques are used to assist healthcare providers in better diagnosing heart disease. This study employed three boosting algorithms, namely, gradient boost, XGBoost, and AdaBoost, to predict heart disease. The dataset contained heart disease-related clinical features and was sourced from the publicly available UCI ML repository. Exploratory data analysis is performed to find the characteristics of data samples about descriptive and inferential statistics. Specifically, it was… More >

Jingnan Zhang¹, Junyi Wan¹, Yihang Li², Yu Han², Jiahua Pan³, Fang Fang¹, Shiliang Jiang⁴, Xiangbin Pan¹, Gejun Zhang^1,*

Congenital Heart Disease, Vol.18, No.2, pp. 219-234, 2023, DOI:10.32604/chd.2023.027562

Abstract Background: The Venus-P valve was the first self-expanding valve used world-wide for transcatheter pulmonary valve replacement (TPVR) in patients with severe pulmonary regurgitation (PR). We intended to report the extended follow-up results from the prospective trial (No. NCT02590679). Methods: A total of 38 patients with severe PR (mean age 24.2 ± 13.2) were included. Follow-up data were obtained after implanted at 1, 6, and 12 months and yearly after. The frame geometry was assessed on post-implant computer tomography (CT) scanning by calculating the non-circularity [circularity ratio (minimum diameter/maximum diameter) < 0.9] and under-expansion [expansion ratio (derived external valve area/nominal external valve area)… More > Graphic Abstract