Punit Gupta¹, Sanjit Bhagat², Dinesh Kumar Saini^1,*, Ashish Kumar², Mohammad Alahmadi³, Prakash Chandra Sharma¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5659-5676, 2022, DOI:10.32604/cmc.2022.023056

Abstract In the next generation of computing environment e-health care services depend on cloud services. The Cloud computing environment provides a real-time computing environment for e-health care applications. But these services generate a huge number of computational tasks, real-time computing and comes with a deadline, so conventional cloud optimization models cannot fulfil the task in the least time and within the deadline. To overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the least simulation time. In order… More >

Kusum Yadav¹, Ali Alharbi¹, Anurag Jain^2,*, Rabie A. Ramadan¹

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3637-3652, 2022, DOI:10.32604/cmc.2022.020614

Abstract Internet of things (IoT) field has emerged due to the rapid growth of artificial intelligence and communication technologies. The use of IoT technology in modern healthcare environments is convenient for doctors and patients as it can be used in real-time monitoring of patients, proper administration of patient information, and healthcare management. However, the usage of IoT in the healthcare domain will become a nightmare if patient information is not securely maintained while transferring over an insecure network or storing at the administrator end. In this manuscript, the authors have developed a secure IoT healthcare monitoring system using the Blockchain-based XOR… More >

Sung-Jung Hsiao¹, Wen-Tsai Sung^2,*

Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 729-748, 2022, DOI:10.32604/iasc.2022.020332

Abstract In this study, a multisensory physiological measurement system was built with wireless transmission technology, using a DSPIC30F4011 as the master control center and equipped with physiological signal acquisition modules such as an electrocardiogram module, blood pressure module, blood oxygen concentration module, and respiratory rate module. The physiological data were transmitted wirelessly to Android-based mobile applications via the TCP/IP or Bluetooth serial ports of Wi-Fi. The Android applications displayed the acquired physiological signals in real time and performed a preliminary abnormity diagnosis based on the measured physiological data and built-in index diagnostic data provided by doctors, such as blood oxygen concentration,… More >

Yun-Jung Choi^1,#, Eun-jung Ko^2,#, Eun-Joo Choi^2,*, Youn-Joo Um^2,*

International Journal of Mental Health Promotion, Vol.23, No.3, pp. 385-393, 2021, DOI:10.32604/IJMHP.2021.015018

Abstract This study aims to contribute to improving mental health services and establishing a direction for disaster survivors by verifying the effectiveness of the TLS (Training for Life Skills) app, a mental health management mobile application. Altogether, 22 disaster survivors received access to the app (with guidance) for eight weeks; we analyzed its effectiveness by examining each participant’s electroencephalography data, which were collected while they were utilizing the app. The results of this study show that the use of the TLS app had a significant positive effect on emotional quotient, basic rhythm quotient (left brain, right brain), alpha blocking rate (left… More >

Abid Sohail^1,*, Dhanapal Durai Dominic², Mohammad Hijji³, Muhammad Arif Butt⁴

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1141-1157, 2021, DOI:10.32604/cmc.2021.018023

Abstract Enterprises are continuously aiming at improving the execution of processes to achieve a competitive edge. One of the established ways of improving process performance is to assign the most appropriate resources to each task of the process. However, evaluations of business process improvement approaches have established that a method that can guide decision-makers to identify the most appropriate resources for a task of process improvement in a structured way, is missing. It is because the relationship between resources and tasks is less understood and advancement in business process intelligence is also ignored. To address this problem an integrated resource classification… More >

Abhinav Adarsh¹, Basant Kumar¹, Manoj Gupta², Arun Kumar², Aman Singh^3,*, Mehedi Masud⁴, Fahad A. Alraddady⁵

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 35-49, 2021, DOI:10.32604/cmc.2021.017647

Abstract This paper presents a new low delay centralized cooperative spectrum sensing method based on dynamic voting rule using multiple threshold level, for indoor hospital environment, where fading and direct path loss both are together responsible for variation in signal strength. In the proposed algorithm, weights of Cognitive Radios (CRs) in terms of assigned vote-count are estimated based on the sensed energy values with respect to multiple fixed threshold levels, so that the direct path loss can be dealt without further increasing the error, which occurs due to fading. For indoor hospital like environment, Rician fading model is more appropriate. Therefore,… More >

Abid Sohail^1,*, Khurram Shahzad², P. D. D. Dominic³, Muhammad Arif Butt², Muhammad Arif⁴, Muhammad Imran Tariq⁵

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 303-319, 2021, DOI:10.32604/cmc.2021.014201

Abstract Business process improvement is a systematic approach used by several organizations to continuously improve their quality of service. Integral to that is analyzing the current performance of each task of the process and assigning the most appropriate resources to each task. In continuation of our previous work, we categorize resources into human and non-human resources. For instance, in the healthcare domain, human resources include doctors, nurses, and other associated staff responsible for the execution of healthcare activities; whereas the non-human resources include surgical and other equipment needed for execution. In this study, we contend that the two types of resources… 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 consensus on… 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 >

Carlos E. B. Branco¹, Roney O. Sampaio¹, Flavio Tarasoutchi¹, Justin P. Zachariah²

Congenital Heart Disease, Vol.13, No.6, pp. 1069-1071, 2018, DOI:10.1111/chd.12676

Abstract In the 2017, “Cairo Accord on Rheumatic Heart Disease—From Molecules to The Global Community” experts from endemic areas enumerated an approach to reduce the population burden of rheumatic heart disease. The 10 key recommendations in‐ clude immediate logistical objectives as well as domains for further study. Echocardiographic population screening programs were relegated to research alone. Given the large body of supporting data, relegating echo screening to an investiga‐ tional modality is an opportunity lost. More >