Omar M. Dawood¹, Daniel J. Sadowski², Steve Scaife³, Nicholas N. Tadros¹, Robert H. Blackwell¹

Canadian Journal of Urology, Vol.27, No.6, pp. 10461-10465, 2020

Abstract Introduction: Erectile dysfunction is common after radical cystectomy; however, research on sexual dysfunction after this procedure is relatively scarce. Our goal was to evaluate the incidence of penile prosthesis implantation after radical cystectomy, with a focus on rural/urban disparity.
Materials and methods: We used the SEER-Medicare database to identify patients with bladder cancer diagnosed between 1991-2009 who had a radical cystectomy (ICD-9 codes 57.7, 57.71, 57.79). The outcome was placement of a penile implant (ICD-9 codes 64.95 and 64.97). Covariates extracted included rural county status, age, race, ethnicity, marital status, geographic region, socioeconomic status, Charlson comorbidity, pathologic… More >

Halimatus Sakdiah Minhat^1,2,*, Hazwan Mat Din¹

International Journal of Mental Health Promotion, Vol.22, No.4, pp. 283-290, 2020, DOI:10.32604/IJMHP.2020.012679 - 22 December 2020

Abstract The rapid ageing process experienced by many developing countries, lead issues and challenges to deal with the highly demanding social care sector. This qualitative study aimed to explore the understanding and views of the formal caregivers in Malaysia towards social care for older persons. Series of focus group discussions were conducted among 57 institutional social care workers at four public residential care in Peninsular Malaysia based on the identified zones. Two groups of participants involved, those aged less than 40 years old and 40 years old and above, divided based on the mean age. The… More >

Vankamamidi S. Naresh^1,∗,†, Suryateja S. Pericherla^2,‡, Pilla Sita Rama Murty^3,§, Sivaranjani Reddi^4,¶

Computer Systems Science and Engineering, Vol.35, No.6, pp. 411-421, 2020, DOI:10.32604/csse.2020.35.411

Abstract Healthcare, the largest global industry, is undergoing significant transformations with the genesis of a new technology known as the Internet of Things (IoT). Many healthcare leaders are investing more money for transforming their services to harness the benefits provided by IoT, thereby paving the way for the Internet of Medical Things (IoMT), an extensive collection of medical sensors and associated infrastructure. IoMT has many benefits like providing remote healthcare by monitoring health vitals of patients at a distant place, providing healthcare services to elderly people, and monitoring a large group of people in a region More >

Ruben Willems^1,*, Fouke Ombelet², Eva Goossens^2,3,4, Katya De Groote⁵, Werner Budts^6,7, Stéphane Moniotte⁸, Michèle de Hosson⁹, Liesbet Van Bulck^2,4, Arianne Marelli¹⁰, Philip Moons^2,11,12, Julie De Backer^4,9,#, Lieven Annemans^1,#

Congenital Heart Disease, Vol.15, No.6, pp. 399-429, 2020, DOI:10.32604/CHD.2020.011709 - 02 November 2020

Abstract Objective: Cost-of-illness studies in Adult Congenital Heart Disease (ACHD) have mainly been limited to hospitalizations. This is the first paper to provide a comprehensive overview from a societal perspective including inpatient and outpatient medical costs, and absenteeism- and unemployment-related societal costs. Methods: A retrospective longitudinal (2006–2015) database analysis was performed in Belgium combining administrative and clinical databases (n = 10,572). Trends in resource use and costs per patient year were standardized to assess the impact of changes in the patient population composition. Generalized Linear Mixed Models assessed the impact of age, sex, lesion complexity, and time.… More >

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 >