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  • Open Access

    ARTICLE

    Estimating Security Risk of Healthcare Web Applications: A Design Perspective

    Fahad A. Alzahrani*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 187-209, 2021, DOI:10.32604/cmc.2021.014007

    Abstract In the recent years, the booming web-based applications have attracted the hackers’ community. The security risk of the web-based hospital management system (WBHMS) has been increasing rapidly. In the given context, the main goal of all security professionals and website developers is to maintain security divisions and improve on the user’s confidence and satisfaction. At this point, the different WBHMS tackle different types of security risks. In WBHMS, the security of the patients’ medical information is of utmost importance. All in all, there is an inherent security risk of data and assets in the field of the medical industry as… More >

  • Open Access

    ARTICLE

    Fuzzy Based Decision-Making Approach for Estimating Usable-Security of Healthcare Web Applications

    Fahad A. Alzahrani*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2599-2625, 2021, DOI:10.32604/cmc.2021.013124

    Abstract Usability and security are often considered contradictory in nature. One has a negative impact on the other. In order to satisfy the needs of users with the security perspective, the relationship and trade-offs among security and usability must be distinguished. Security practitioners are working on developing new approaches that would help to secure healthcare web applications as well increase usability of the web applications. In the same league, the present research endeavour is premised on the usable-security of healthcare web applications. For a compatible blend of usability and security that would fulfill the users’ requirments, this research proposes an integration… More >

  • Open Access

    ARTICLE

    Prediction of COVID-19 Cases Using Machine Learning for Effective Public Health Management

    Fahad Ahmad1,*, Saleh N. Almuayqil2, Mamoona Humayun2, Shahid Naseem3, Wasim Ahmad Khan4, Kashaf Junaid5

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2265-2282, 2021, DOI:10.32604/cmc.2021.013067

    Abstract COVID-19 is a pandemic that has affected nearly every country in the world. At present, sustainable development in the area of public health is considered vital to securing a promising and prosperous future for humans. However, widespread diseases, such as COVID-19, create numerous challenges to this goal, and some of those challenges are not yet defined. In this study, a Shallow Single-Layer Perceptron Neural Network (SSLPNN) and Gaussian Process Regression (GPR) model were used for the classification and prediction of confirmed COVID-19 cases in five geographically distributed regions of Asia with diverse settings and environmental conditions: namely, China, South Korea,… More >

  • Open Access

    ARTICLE

    Metaheuristic Clustering Protocol for Healthcare Data Collection in Mobile Wireless Multimedia Sensor Networks

    G. Kadiravan1, P. Sujatha1, T. Asvany1, R. Punithavathi2, Mohamed Elhoseny3, Irina V. Pustokhina4, Denis A. Pustokhin5, K. Shankar6,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3215-3231, 2021, DOI:10.32604/cmc.2021.013034

    Abstract Nowadays, healthcare applications necessitate maximum volume of medical data to be fed to help the physicians, academicians, pathologists, doctors and other healthcare professionals. Advancements in the domain of Wireless Sensor Networks (WSN) and Multimedia Wireless Sensor Networks (MWSN) are tremendous. M-WMSN is an advanced form of conventional Wireless Sensor Networks (WSN) to networks that use multimedia devices. When compared with traditional WSN, the quantity of data transmission in M-WMSN is significantly high due to the presence of multimedia content. Hence, clustering techniques are deployed to achieve low amount of energy utilization. The current research work aims at introducing a new… More >

  • Open Access

    ARTICLE

    Deep Learning Based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data

    Phong Thanh Nguyen1, Vy Dang Bich Huynh2, Khoa Dang Vo1, Phuong Thanh Phan1, Mohamed Elhoseny3, Dac-Nhuong Le4,5,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2555-2571, 2021, DOI:10.32604/cmc.2021.012941

    Abstract Data fusion is a multidisciplinary research area that involves different domains. It is used to attain minimum detection error probability and maximum reliability with the help of data retrieved from multiple healthcare sources. The generation of huge quantity of data from medical devices resulted in the formation of big data during which data fusion techniques become essential. Securing medical data is a crucial issue of exponentially-pacing computing world and can be achieved by Intrusion Detection Systems (IDS). In this regard, since singular-modality is not adequate to attain high detection rate, there is a need exists to merge diverse techniques using… More >

  • Open Access

    ARTICLE

    Comparative Effectiveness of Mind-Body Exercise Versus Cognitive Behavioral Therapy for College Students with Problematic Smartphone Use: A Randomized Controlled Trial

    Chunping Lu1,#, Liye Zou2,#, Benjamin Becker3, Mark D. Griffiths4, Qian Yu2, Si-Tong Chen5, Zsolt Demetrovics6, Can Jiao7, Xinli Chi7, Aiguo Chen8, Albert Yeung9, Shijie Liu10, Yanjie Zhang2,11,*

    International Journal of Mental Health Promotion, Vol.22, No.4, pp. 271-282, 2020, DOI:10.32604/IJMHP.2020.014419

    Abstract Purpose: The purpose of the present study was to compare the effectiveness of mind-body exercise (ME) and cognitive behavioral therapy (CBT) on addiction level and psychological well-being among college students with problematic smartphone use (PSU). Methods: A 12-week randomized controlled study was carried out at a university in central China. A total of 95 PSU college students who met the inclusion criteria were randomly assigned to a ME group (ME, n = 31), CBT group (CBT, n = 30), or control group (CG, n = 34). Both ME intervention and CBT, twice per week for 90 min per session, lasting… More >

  • Open Access

    ARTICLE

    Embracing and Growing as a Peer Support Provider: An Analysis of Participants’ Experience in a Peer Support Program Based on the Recovery Model of Mental Illness

    Su Yeon Kim1, Kyung Mi Lim2, Soo Jin Kim3, Go-Un Kim4, Boyoung Kim5,*

    International Journal of Mental Health Promotion, Vol.22, No.4, pp. 261-270, 2020, DOI:10.32604/IJMHP.2020.013279

    Abstract Peer support is an important factor in the recovery of persons with mental illness. Most studies have focused on the effects of peer support programs on participants rather than on the process of mental health recovery. This study was a qualitative analysis of the experience of participants in a peer support provider program based on the recovery model of mental illness in Korean communities. The participants were recruited through flyers, and interested candidates were screened to determine whether they met the eligibility criteria. The total number of participants in individual interviews was 10, comprising 5 males and 5 females. The… More >

  • Open Access

    ARTICLE

    Applying Health Belief Model to Unveil Employees’ Workplace COVID-19 Protective Behaviors: Insights for the Hospitality Industry

    Hamed Rezapouraghdam1, Osman M. Karatepe2,*

    International Journal of Mental Health Promotion, Vol.22, No.4, pp. 233-247, 2020, DOI:10.32604/IJMHP.2020.013214

    Abstract The overwhelming majority of the countries around the globe have witnessed severe cases of the COVID-19 outbreak. Unfortunately, many countries are still beset with such an infectious disease. Despite the fact that there is currently no specific approved cure for this deadly infection, restrictions (e.g., lockdown and border closing) are gradually eased. Meanwhile, businesses are reopening and outdoor leisure activities are about to start again based on strict health, social distancing, and hygiene rules. However, as we still have a long way to reach an ultimate treatment for such deadly virus, changing human behavior sounds the best defense in tackling… More >

  • Open Access

    ARTICLE

    Women’s Experiences with Intimate Partner Violence and Their Mental Health Status in India: A Qualitative Study of Sambalpur City

    Rashmi Rai1, Ambarish Kumar Rai2,*

    International Journal of Mental Health Promotion, Vol.22, No.4, pp. 291-302, 2020, DOI:10.32604/IJMHP.2020.012153

    Abstract The intimate partner violence (IPV) against women has been identified as a violation of human rights and a serious public health concern. There is not only the immediate consequence of partner violence, such as injury or death but also the other long-term health consequences. IPV can be associated with psychological effects such as depressive disorder, posttraumatic stress disorder, and substance abuse. The study aims to explore the nature and causes of IPV on women’s life and their personal experiences to deal with. This is an NGO-based study. For better understanding of the issues, Purposive sampling was used in selecting women… More >

  • Open Access

    ARTICLE

    Internet of Things in Healthcare: Architecture, Applications, Challenges, and Solutions

    Vankamamidi S. Naresh1,∗,†, Suryateja S. Pericherla2,‡, Pilla Sita Rama Murty3,§, Sivaranjani Reddi4,¶

    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 or country for detection and… More >

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