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

Shuqin Zhang^1,#, Bin Zhang^2,#, Jianying Wu³, Jin Luo¹, Haomin Shi¹, Jirong Qi^3,4,*, Huilian Yang^1,5,*

Congenital Heart Disease, Vol.18, No.2, pp. 127-150, 2023, DOI:10.32604/chd.2023.025616

Abstract Objectives: To estimate the prevalence of Congenital Heart Disease (CHD) in school-age children, to identify the extent to which altitude affects the prevalence of the disease, and to examine trends in prevalence over time in China. Methods: Seven databases were systematically searched and last retrieved on September 10, 2021 for all studies reporting the prevalence of CHD in children after 1970 in China, which were then divided into high and low altitude regions based on 2500 meters above sea level. The random-effected model was used to combine prevalence data and subgroups analysis. The baseline data of all cases and individuals… More > Graphic Abstract

Alain J. Poncelet^1,*, Maureen Peers de Nieuwburgh², Stéphane Moniotte², Geoffroy de Beco¹, Karlien Carbonez², Jean E. Rubay¹, Thierry Detaille³, Laurent Houtekie³, Mona Momeni⁴

Congenital Heart Disease, Vol.18, No.2, pp. 151-168, 2023, DOI:10.32604/chd.2023.022636

Abstract Background: Most outcome studies in congenital cardiac surgery for “low weight” neonates include patients undergoing surgery without cardiopulmonary bypass (CPB). The primary objective of our study was to identify risk factors for in-hospital mortality in neonates weighing less than 3 Kg and undergoing surgery with CPB. In addition, we compared the effect of early surgery with CPB (before 37W-gestational age (GA)) for congenital heart disease to delayed surgery until a corrected GA of 37 weeks in an attempt to promote weight gain. Methods: Retrospective single-center study including all patients operated between 1997 and 2017. Uni- and multivariable analysis were used… More >

Efrén Martínez-Quintana^1,2,*, Hiurma Estupiñán-León², Ana Beatriz Rojas-Brito², Liuva Déniz-Déniz², Alejandro Barreto-Martín², Fayna Rodríguez-González³

Congenital Heart Disease, Vol.18, No.2, pp. 197-206, 2023, DOI:10.32604/CHD.2021.013308

Abstract Background: Living well is as important as living longer. The objective of this study is to assess quality of life (QoL) in congenital heart disease (CHD) according to current AHA/ACC anatomical and physiological classifi- cation. Methods: Cross-sectional study examining the World Health Organization QoL Bref questionnaire (WHOQoL-Bref) in consecutive outpatient CHD patients from a single unit. Results: 191 CHD patients were studied. Median age was 28 ± 13 years and 59% were male. 44 (23%), 115 (60%) and 33 (17%) CHD patients showed mild, moderate and great anatomical defects respectively while 69 (36%) patients were in physiological Stage A, 27… More >

V. Gowri^1,*, V. Vijaya Chamundeeswari²

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3675-3690, 2023, DOI:10.32604/iasc.2023.035817

Abstract Decision forest is a well-renowned machine learning technique to address the detection and prediction problems related to clinical data. But, the traditional decision forest (DF) algorithms have lower classification accuracy and cannot handle high-dimensional feature space effectively. In this work, we propose a bootstrap decision forest using penalizing attributes (BFPA) algorithm to predict heart disease with higher accuracy. This work integrates a significance-based attribute selection (SAS) algorithm with the BFPA classifier to improve the performance of the diagnostic system in identifying cardiac illness. The proposed SAS algorithm is used to determine the correlation among attributes and to select the optimum… More >

Lilia Oreto^1,*, Giuseppe Mandraffino², Paolo Ciliberti³, Teresa P. Santangelo⁴, Placido Romeo⁵, Antonio Celona⁵, Placido Gitto¹, Lorenzo Galletti³, Fiore S. Iorio³, Alfredo Di Pino¹, Aurelio Secinaro⁴, Paolo Guccione³, Robert H. Anderson⁶, Salvatore Agati¹

Congenital Heart Disease, Vol.18, No.1, pp. 97-111, 2023, DOI:10.32604/chd.2022.023619

Abstract Aims: Evidence is emerging that, in the setting of isomerism, the atrial and bronchial arrangement are not always concordant, nor are these patterns always harmonious with the arrangement of the abdominal organs. We aimed to evaluate the concordance between these features in a cohort of patients with cardiac malformations in the setting of known isomerism, seeking to determine whether it was feasible to assess complexity on this basis, in this regard taking note of the potential value of bronchial as opposed to appendage morphology. Methods and Results: We studied 78 patients known to have isomerism of the bronchuses, 43 with… More > Graphic Abstract

Wenlei Qian^1,#, Xinzhu Zhou^2,#, Ke Shi¹, Li Jiang¹, Xi Liu³, Liting Shen¹, Zhigang Yang^1,*

Congenital Heart Disease, Vol.18, No.1, pp. 113-125, 2023, DOI:10.32604/chd.2023.023542

Abstract Background: Pulmonary atresia (PA) is a group of heterogeneous complex congenital heart disease. Only one study modality might not get a correct diagnosis. This study aims to investigate the diagnostic power of dual-source computed tomography (DSCT) for all intracardiac and extracardiac deformities in patients with PA compared with transthoracic echocardiography (TTE). Materials and Methods: This retrospective study enrolled 79 patients and divided them into three groups according to their main diagnosis. All associated malformations and clinical information, including treatments, were recorded and compared among the three groups. The diagnostic power of DSCT and TTE on all associated malformations were compared.… More > Graphic Abstract