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 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 More >

Taemin Lee¹, Dongwann Kang², Kyunghyun Yoon¹, Sanghyun Seo^3,*

Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 181-192, 2020, DOI:10.31209/2019.100000139

Abstract As mobile devices have tremendously developed, people can now get sensor data easily. These data are not only physical data such as temperature, humidity, gravity, acceleration, etc. but also human health data such as blood pressure, heart pulse rate, etc. With this information, Internet of Things (IoT) technology has provided many systems to support human health care. Systems for human health care support physical health care like checking blood pressure, pulse rate, etc. However, the demand for physical health care as well as mental health care is increasing. So, a system, which automatically recommends a… 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 - 14 August 2020

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… 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 - 23 July 2020

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… 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 - 15 July 2020

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… More >

Yihe Liu¹, Aaqif Afzaal Abbasi², Atefeh Aghaei³, Almas Abbasi⁴, Amir Mosavi^{5, 6, 7}, Shahaboddin Shamshirband^{8, 9, *}, Mohammed A. A. Al-qaness¹⁰

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 31-39, 2020, DOI:10.32604/cmc.2020.07708 - 30 March 2020

Abstract Mobile cloud computing is an emerging field that is gaining popularity across borders at a rapid pace. Similarly, the field of health informatics is also considered as an extremely important field. This work observes the collaboration between these two fields to solve the traditional problem of extracting Electrocardiogram signals from trace reports and then performing analysis. The developed system has two front ends, the first dedicated for the user to perform the photographing of the trace report. Once the photographing is complete, mobile computing is used to extract the signal. Once the signal is extracted, More >

Nicholas J. Farber, Nadiya Chuchvara, Parth K. Modi, Joshua Sterling, Sammy E. Elsamra

Canadian Journal of Urology, Vol.26, No.1, pp. 9660-9663, 2019

Abstract Introduction: To assess whether urologists are able to accurately estimate the cost of commonly used endourologic disposable devices.
Materials and methods: An anonymous questionnaire was presented to resident and attending urologists in one academic healthcare system. Respondents estimated the cost of 15 disposable devices commonly used in ureteroscopy. Twenty-five surgeons (9 residents and 16 attending urologists) participated, for a response rate of 96.2%. Respondents’ cost estimates were compared to actual institutional costs and considered accurate if the absolute percentage error was within 20%. Additional information obtained included: years in practice, participation in purchasing activities, practice setting, number… More >

Yibo Zhao^1,2

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 835-845, 2019, DOI:10.31209/2019.100000087

Abstract In this paper, a new model is proposed to predict the permeability of porous media. This model introduces the Euler-Poincaré Characteristic (Euler Number), a parameter that reflects the connectivity of porous media. Using fractal and percolation theory, we establish a permeability model as a function of critical radius, porosity and Euler number. In order to relate the result to the Euler number, we introduce the Connectivity Function to calculate the critical aperture in the percolation theory, then calculate the percolation threshold value, and establish the relationship between the percolation threshold and the Euler number. The More >

Amy E. Delaney¹, Nina M. Dadlez², Audrey C. Marshall²

Congenital Heart Disease, Vol.14, No.4, pp. 665-670, 2019, DOI:10.1111/chd.12821

Abstract Background: In pediatric cardiac care, many centers participate in multiple, national, domain‐specific registries, as a major component of their quality assessment and im‐ provement efforts. Small cardiac programs, whose clinical activities and scale may not be well‐suited to this approach, need alternative methods to assess and track quality.
Methods: We conceived of and piloted a rapid‐approach cardiac quality assessment, intended to encompass multiple aspects of the service line, in a low‐volume program. The assessment incorporated previously identified measures, drawn from multiple sources, and ultimately relied on retrospective chart review.
Results: A collaborative, multidisciplinary team formed and came to… More >