Grace Gau¹, Minerva Singh^2,3,*

Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

Cheryl Dickson^1,2,4, Danielle Osborn¹, David Baker^1,4, Judith Fethney³, David S. Celermajer^1,4, Rachael Cordina^1,4,*

Congenital Heart Disease, Vol.19, No.1, pp. 49-63, 2024, DOI:10.32604/chd.2023.044874 - 20 March 2024

Abstract Background: Much has been written about the loss to follow-up in the transition between pediatric and adult Congenital Heart Disease (CHD) care centers. Much less is understood about the loss to follow-up (LTF) after a successful transition. This is critical too, as patients lost to specialised care are more likely to experience morbidity and premature mortality. Aims: To understand the prevalence and reasons for loss to follow-up (LTF) at a large Australian Adult Congenital Heart Disease (ACHD) centre. Methods: Patients with moderate or highly complex CHD and gaps in care of >3 years (defined as LTF)… More >

Kaushlendra Yadav^*, Anuj Singh, Arvind Kumar Tiwari

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3767-3782, 2023, DOI:10.32604/csse.2023.033991 - 03 April 2023

Abstract Forecasting the weather is a challenging task for human beings because of the unpredictable nature of the climate. However, effective forecasting is vital for the general growth of a country due to the significance of weather forecasting in science and technology. The primary motivation behind this work is to achieve a higher level of forecasting accuracy to avoid any damage. Currently, most weather forecasting work is based on initially observed numerical weather data that cannot fully cover the changing essence of the atmosphere. In this work, sensors are used to collect real-time data for a… More >

Jutarat Tanasansuttiporn¹, Maliwan Oofuvong^1,*, Wirat Wasinwong¹, Voravit Chittithavorn², Pongsanae Duangpakdee², Jirayut Jarutach³, Qistina Yunuswangsa¹

Congenital Heart Disease, Vol.17, No.3, pp. 245-267, 2022, DOI:10.32604/chd.2022.021778 - 03 May 2022

Abstract Background: Studies on predictors of health-related quality of life (HRQOL) in pediatric patients with cyanotic heart disease who are waiting for the next stage and those who have undergone total repair are scarce. Therefore, we aimed to identify such predictors in children who received the modified Blalock–Taussig shunt (MBTS) and those who underwent total repair. Methods: In this historical cohort and concurrent follow-up study, data of children who underwent MBTS at the age of 0–3 years between January 2005 and December 2016 at a super-tertiary care hospital in Southern Thailand were obtained. Children who were alive… More > Graphic Abstract

Mohamed Saber Hafez^*, Alaa Roushdy, Dina Ezzeldin

Congenital Heart Disease, Vol.17, No.3, pp. 325-333, 2022, DOI:10.32604/chd.2022.019025 - 03 May 2022

Abstract Background: Coarctation of the aorta is a congenital heart disease that sometimes remains clinically silent until adulthood, usually presenting with arterial hypertension. It is well known that after coarctation treatment, many patients remain hypertensive despite successful repair. In this study we approached the predictors and effects of residual hypertension after successful coarctation therapy. Methods: It was a cross sectional observational study involving 50 patients who underwent Coarctation repair/angioplasty in Ain Shams university hospitals. We divided the patients into two groups (hypertensive and normotensive) and we studied their demographic data (e.g., age, gender, age at first repair,… More >

Cheryl Raskind-Hood^1,*, Kashaine A. Gray^2,3, Jayne Morgan³, Wendy M. Book^4,*

Congenital Heart Disease, Vol.16, No.4, pp. 333-355, 2021, DOI:10.32604/CHD.2021.014384 - 19 April 2021

Abstract Early intervention to prevent premature mortality is vital for adults with congenital heart defects (CHD). Anatomic complexity and comorbid conditions are thought to contribute to CHD mortality. Since hypertension (HTN) and heart failure (HF) are the comorbid conditions among the most prevalent causes of death in the United States, and commonly accompany CHD, it is crucial to evaluate whether they are reliable predictors of mortality for adults with CHD (ACHD) independent of anatomic CHD complexity. A retrospective cross-sectional analysis of ACHD, aged 18–64, with concomitant HTN and/or HF and at least one health care encounter… More >

Stephen J. Dolgner^1,2,3, Eric V. Krieger^1,3, Jacob Wilkes⁴, Susan L. Bratton⁵, Ravi R. Thiagarajan^6,7, Cindy S. Barrett⁸, Titus Chan^1,2,9

Congenital Heart Disease, Vol.14, No.4, pp. 559-570, 2019, DOI:10.1111/chd.12758

Abstract Objective: Adult congenital heart disease (ACHD) patients who undergo cardiac surgery are at risk for poor outcomes, including extracorporeal membrane oxygenation support (ECMO) and death. Prior studies have demonstrated risk factors for mortality, but have not fully examined risk factors for ECMO or death without ECMO (DWE). We sought to identify risk factors for ECMO and DWE in adults undergoing congenital heart surgery in tertiary care children’s hospitals.
Design: All adults (≥18 years) undergoing congenital heart surgery in the Pediatric Health Information System (PHIS) database between 2003 and 2014 were included. Patients were classified into three groups:… More >

Matthew Lewis¹, William Whang², Angelo Biviano², Kathleen Hickey², Hasan Garan², Marlon Rosenbaum¹

Congenital Heart Disease, Vol.14, No.2, pp. 207-212, 2019, DOI:10.1111/chd.12695

Abstract Background: Catheter ablation is commonly performed to treat atrial arrhythmias in adult congenital heart disease (ACHD). Despite the frequency of ablations in the ACHD population, predictors of recurrence remain poorly defined.
Objective: We sought to determine predictors of arrhythmia recurrence in ACHD patients following catheter ablation for atrial arrhythmias.
Methods: We performed a retrospective study of all catheter ablations for atrial arrhythmias performed in ACHD patients between January 12, 2005 and February 11, 2015 at our institution. Prespecified exposures of interest and time from ablation to recurrence were determined via chart review.
Results: Among 124 patients (mean age: 45… More >

Ruiguo Yu^1,2, Zhiqiang Liu^1,2, Jianrong Wang^1,3, Mankun Zhao^1,2, Jie Gao^1,3, Mei Yu^1,3,*

Computer Systems Science and Engineering, Vol.33, No.4, pp. 267-274, 2018, DOI:10.32604/csse.2018.33.267

Abstract The spatio-temporal feature with historical wind power information and spatial information can effectively improve the accuracy of wind power prediction, but the role of the spatio-temporal feature has not yet been fully discovered. This paper investigates the variance of the spatio-temporal feature. Based on this, a hybrid machine learning method for wind power prediction is designed. First, the training set is divided into several groups according to the variance of the input pattern, and then each group is used to train one or more predictors respectively. Multiple machine learning methods, such as the support vector More >

Keri M. Shafer^1,2, Alexander R. Opotowsky^1,2, Jonathan Rhodes¹

Congenital Heart Disease, Vol.13, No.6, pp. 903-910, 2018, DOI:10.1111/chd.12661

Abstract Objective: Risk prediction using cardiopulmonary exercise testing (CPET) in complex congenital heart disease tends to either focus on single diagnoses or complete cohorts. We aimed to evaluate patients with two distinct anatomies cared for at a single institution over the same time period to determine CPET variables associated with mortality.
Design: All Fontan and tetralogy of Fallot (TOF) subjects with CPET between November 1, 2002 and December 31, 2014 and subsequently died were identified (cases). Cases were matched 1:3 to controls with similar age, underlying anatomy and timing of exercise test.
Results: Of the 42 cases, 27 had… More >