Parvathavarthini S^1,*, Karthikeyani Visalakshi N², Shanthi S³, Madhan Mohan J⁴

Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 253-260, 2020, DOI:10.31209/2019.100000155

Abstract Intuitionistic fuzzy clustering allows the uncertainties in data to be represented more precisely. Medical data usually possess a high degree of uncertainty and serve as the right candidate to be represented as Intuitionistic fuzzy sets. However, the selection of initial centroids plays a crucial role in determining the resulting cluster structure. Crow search algorithm is hybridized with Intuitionistic fuzzy C-means to attain better results than the existing hybrid algorithms. Still, the performance of the algorithm needs improvement with respect to the objective function and cluster indices especially with internal indices. In order to address these issues, the crow search algorithm… More >

S.Ilangovan^1,*, A. Vincent Antony Kumar²

Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 261-268, 2020, DOI:10.31209/2019.100000154

Abstract In this work, a Novel Feature selection framework called SU embedded PSO Feature Selector has been proposed (SU-PSO) towards the selection of optimal feature subset for the improvement of detection performance of classifiers. The feature space ranking is done through the Symmetrical Uncertainty method. Further, memetic operators of PSO include features and remove features are used to choose relevant features and the best of best features are selected using PSO. The proposed feature selector efficiently removes not only irrelevant but also redundant features. Performance metric such as classification accuracy, subset of features selected and running time are used for comparison. More >

Mònica Cunill¹, Maria Aymerich¹, Bernat-Carles Serdà^2,*, Josefina Patiño-Masó³

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 185-198, 2020, DOI:10.32604/IJMHP.2020.011615

Abstract Aim: To describe the physical and psychological symptoms in healthcare workers caring for COVID-19 patients. Methods: Cross-sectional descriptive study design. A sample of 1,452 participants was collected. Sociodemographic data were recorded. Symptoms of anxiety were screened with Generalized Anxiety Disorder (GAD-7), symptoms of depression were measured with the Patient Health Questionnaire (PHQ-9), and finally physical symptoms were measured using the Patient Health Questionnaire (PHQ-15). Percentages, means and standard deviations, the one-way and two-way ANOVA test, the Chi square test and Pearson’s correlation coefficient were all calculated. The level of significance was (p < 0.05). Results: Medium levels of anxiety (range,… More >

Muhammad Adnan Khan^{1, *}, Sagheer Abbas², Ayesha Atta^{2, 3}, Allah Ditta⁴, Hani Alquhayz⁵, Muhammad Farhan Khan⁶, Atta-ur-Rahman⁷, Rizwan Ali Naqvi⁸

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 139-151, 2020, DOI:10.32604/cmc.2020.011416

Abstract The innovation in technologies related to health facilities today is increasingly helping to manage patients with different diseases. The most fatal of these is the issue of heart disease that cannot be detected from a naked eye, and attacks as soon as the human exceeds the allowed range of vital signs like pulse rate, body temperature, and blood pressure. The real challenge is to diagnose patients with more diagnostic accuracy and in a timely manner, followed by prescribing appropriate treatments and keeping prescription errors to a minimum. In developing countries, the domain of healthcare is progressing day by day using… More >

Federica Dellafiore¹, Serena Francesca Flocco¹, Cristina Arrigoni², Serena Barello³, Tiziana Nania¹, Maria Giovanna Russo⁴, Berardo Sarubbi⁵, Arianna Magon¹, Francesco Pittella¹, Massimo Chessa⁶, Rosario Caruso^1,*

Congenital Heart Disease, Vol.15, No.3, pp. 167-180, 2020, DOI:10.32604/CHD.2020.012438

Abstract Aims: This study aimed at providing an Italian short version of the ‘healthcare needs scale for youth with congenital heart disease’ (I-HNS-CHD-s), describing its construct validity and reliability. Methods: A multi-method and multi-phase design were adopted. Phase one referred to the cultural-linguistic validation of the original scale into Italian. Phase two tasted content and face validity of the Italian-translated scale. Phase three included the psychometric validation process of scale, encompassed two different steps: first cross-sectional data collection (sample A) purposed at determining the psychometric characteristics of the I-HNS-CHD-s, using an exploratory factor analysis (EFA). Then, a second round of cross-sectional… More >

Karrie F. Downing^1,2, Matthew E. Oster^1,3, Sherry L. Farr¹

Congenital Heart Disease, Vol.12, No.4, pp. 497-506, 2017, DOI:10.1111/chd.12476

Abstract Objective: A substantial percentage of children with congenital heart disease (CHD) fail to transfer to adult care, resulting in increased risk of morbidity and mortality. Transition planning discussions with a provider may increase rates of transfer, yet little is known about frequency and content of these discussions. We assessed prevalence and predictors of transition-related discussions between providers and parents of children with special healthcare needs (CSHCN) and heart problems, including CHD.
Design: Using parent-reported data on 12- to 17-year-olds from the 2009–2010 National Survey of CSHCN, we calculated adjusted prevalence ratios (aPR) for associations between demographic factors and provider discussions… More >

Jennifer K. Peterson¹, Yanjun Chen², Danh V. Nguyen³, Shaun P. Setty¹

Congenital Heart Disease, Vol.12, No.4, pp. 520-532, 2017, DOI:10.1111/chd.12475

Abstract Objective: Despite overall improvements in congenital heart disease outcomes, racial and ethnic disparities have continued. The purpose of this study is to examine the effect of race and ethnicity, as well as other risk factors on congenital heart surgery length of stay and in-hospital mortality.
Design: From the 2012 Healthcare Cost and Utilization Project Kids Inpatient Database (KID), we identified 13 130 records with Risk Adjustment in Congenital Heart Surgery complexity scoreeligible procedures. Multivariate logistic and linear regression modeling with survey weights, stratification and clustering was used to examine the relationships between predictor variables and length of stay as well… More >

Daniel J Penny

Congenital Heart Disease, Vol.12, No.3, pp. 241-241, 2017, DOI:10.1111/chd.12474

Abstract This article has no abstract. More >

Albert C. Hergenroeder¹, Douglas S. Moodie², Daniel J. Penny², Constance M. Wiemann¹, Blanca Sanchez-Fournier¹, Lauren K. Moore², Jane Head³

Congenital Heart Disease, Vol.13, No.4, pp. 548-553, 2018, DOI:10.1111/chd.12604

Abstract Objective: To describe changes in functional status between the last pediatric and first adult congenital heart disease (CHD) clinic visits in patients with moderate to severe CHD after implementing a healthcare transition (HCT) planning program.
Design: Quasi-experimental design. Patients were followed prospectively following the implementation of the intervention; Control patients transitioned from the Pediatric CHD Clinic into Adult CHD Clinic before the intervention.
Setting: Texas Children’s Hospital (TCH).
Patients: Sixteen to 25-year-olds, cognitively normal, English speaking patients with moderate to severe CHD who transitioned from the Pediatric to the Adult CHD clinic.
Interventions: An EMR-based transition planning tool (TPT) was… More >