Ali Altalbe^1,2,*, Abdul Rehman Javed³

Computer Systems Science and Engineering, Vol.47, No.2, pp. 2187-2200, 2023, DOI:10.32604/csse.2023.040624

Abstract Federated learning has recently attracted significant attention as a cutting-edge technology that enables Artificial Intelligence (AI) algorithms to utilize global learning across the data of numerous individuals while safeguarding user data privacy. Recent advanced healthcare technologies have enabled the early diagnosis of various cognitive ailments like Parkinson’s. Adequate user data is frequently used to train machine learning models for healthcare systems to track the health status of patients. The healthcare industry faces two significant challenges: security and privacy issues and the personalization of cloud-trained AI models. This paper proposes a Deep Neural Network (DNN) based approach embedded in a federated… More >

Madallah Alruwaili^1,*, Muhammad Hameed Siddiqi¹, Kamran Farid², Mohammad Azad¹, Saad Alanazi¹, Asfandyar Khan², Abdullah Khan²

Computer Systems Science and Engineering, Vol.47, No.2, pp. 2293-2311, 2023, DOI:10.32604/csse.2023.040312

Abstract Numerous types of research on healthcare monitoring systems have been conducted for calculating heart rate, ECG, nasal/oral airflow, temperature, light sensor, and fall detection sensor. Different researchers have done different work in the field of health monitoring with sensor networks. Different researchers used built-in apps, such as some used a small number of parameters, while some other studies used more than one microcontroller and used senders and receivers among the microcontrollers to communicate, and outdated tools for study development. While no efficient, cheap, and updated work is proposed in the field of sensor-based health monitoring systems. Therefore, this study developed… More >

Arfat Ahmad Khan¹, Shtwai Alsubai², Chitapong Wechtaisong^3,*, Ahmad Almadhor⁴, Natalia Kryvinska^5,*, Abdullah Al Hejaili⁶, Uzma Ghulam Mohammad⁷

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1733-1750, 2023, DOI:10.32604/csse.2023.039296

Abstract A cataract is one of the most significant eye problems worldwide that does not immediately impair vision and progressively worsens over time. Automatic cataract prediction based on various imaging technologies has been addressed recently, such as smartphone apps used for remote health monitoring and eye treatment. In recent years, advances in diagnosis, prediction, and clinical decision support using Artificial Intelligence (AI) in medicine and ophthalmology have been exponential. Due to privacy concerns, a lack of data makes applying artificial intelligence models in the medical field challenging. To address this issue, a federated learning framework named CD-FL based on a VGG16… More >

Ahmad Almadhor^1,*, Arfat Ahmad Khan², Chitapong Wechtaisong^3,*, Iqra Yousaf⁴, Natalia Kryvinska⁵, Usman Tariq⁶, Haithem Ben Chikha¹

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1775-1791, 2023, DOI:10.32604/csse.2023.039007

Abstract Pneumothorax is a thoracic condition that occurs when a person’s lungs collapse, causing air to enter the pleural cavity, the area close to the lungs and chest wall. The most persistent disease, as well as one that necessitates particular patient care and the privacy of their health records. The radiologists find it challenging to diagnose pneumothorax due to the variations in images. Deep learning-based techniques are commonly employed to solve image categorization and segmentation problems. However, it is challenging to employ it in the medical field due to privacy issues and a lack of data. To address this issue, a… More >

Musheer Ahmad¹, Reem Ibrahim Alkanhel^2,*, Naglaa F. Soliman², Abeer D. Algarni², Fathi E. Abd El-Samie³, Walid El-Shafai^3,4

Computer Systems Science and Engineering, Vol.47, No.2, pp. 2361-2380, 2023, DOI:10.32604/csse.2023.038439

Abstract Patient privacy and data protection have been crucial concerns in E-healthcare systems for many years. In modern-day applications, patient data usually holds clinical imagery, records, and other medical details. Lately, the Internet of Medical Things (IoMT), equipped with cloud computing, has come out to be a beneficial paradigm in the healthcare field. However, the openness of networks and systems leads to security threats and illegal access. Therefore, reliable, fast, and robust security methods need to be developed to ensure the safe exchange of healthcare data generated from various image sensing and other IoMT-driven devices in the IoMT network. This paper… More >

Liujian Gu¹, Tao Wang¹, Chuanyi Wang^1,*, M. James C. Crabbe², Xiao-Guang Yue³

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 903-914, 2023, DOI:10.32604/ijmhp.2023.028157

Abstract Background: Researchers have a higher risk of anxiety and depression than the general population, so it is important to promote researchers’ mental health. Method: Based on the data from 3210 global researchers surveyed by the journal Nature in 2021, confirmatory factor analysis, OLS regression and other regressions were used to explore the research incentive dimensions and their effects on researchers’ mental health. Results: (1) Material incentive factors, work-family life balance factors, good organizational environment and spiritual motivation had significant positive effects on researchers’ mental health. (2) The spiritual motivation could better promote researchers’ mental health than the other factors. (3)… More >

Silvia Carbone^*

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 927-935, 2023, DOI:10.32604/ijmhp.2023.027784

Abstract Madness has attracted and frightened for centuries, and talking about this means discussing how this diversity was built and managed in different social contexts and historical periods. Not all societies have had, and still have, the same relationship with madness. It is only with the affirmation of the Modern State, and of Capitalism, that the idea of “normality” indispensable to be able to conceive diversity as something dangerously distant and different from the norm takes over. In our post-modern society, people with mental illness in Italy can resort to specialists and social-health services. But the heterogeneous answers given after the… More > Graphic Abstract

Li-yu Song^1,*, Su-ting Hsu²

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 915-925, 2023, DOI:10.32604/ijmhp.2023.019349

Abstract Background: This study explored the personal recovery of consumers and their caregivers receiving the strength-based family intervention. Method: A three-year project was implemented with 43 dyads from 5 community psychiatric rehabilitation agencies in northern, central, and Southern Taiwan. This paper presents qualitative analysis with a focus on describing the experiences of personal recovery. To gain a deeper understanding of the participants’ personal experiences and perspectives, semi-structured in-depth interviews were conducted on three occasions (six months after the inception of the experiment, 18 months after, and when the participants left the services of this study). Over the three occasions, a total… More >

Brigitta Munkácsi^1,*, Enikő Felszeghy¹, Flóra Kenyhercz², Beáta Erika Nagy¹

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 961-969, 2023, DOI:10.32604/ijmhp.2023.027319

Abstract The most common comorbid psychiatric disorders in children with type 1 diabetes mellitus (T1DM) are depression, anxiety and behavioral disorders. Patients with comorbid psychopathology are less capable of psychically adjusting to the new life situation resulting from T1DM, which may negatively affect glycemic control and adherence related to the treatment. We aimed to investigate the association between mental health and type 1 diabetes including illness representation. 115 children and adolescents with T1DM were recruited through the outpatient clinic in Debrecen, Hungary. Measures: PRISM-D, Child Depression Inventory (CDI), Cantril Ladder and Self-Rated Health, Glycosylaeted haemoglobin (HbA1C) were measured. Children having depressive… More > Graphic Abstract

F. Farsi, E. Huyghe, L. Vanlemmens, S. Dolbeault, T. Almont, E. Marx, I. Flandrin, J. Véronique-Baudin, B. Panes-Ruedin, P. Bondil

Psycho-Oncologie, Vol.17, No.2, pp. 99-104, 2023, DOI:10.3166/pson-2022-0235

Abstract The issue of sexual health is not yet fully integrated into the consultation process by practitioners and not significantly integrated by other stakeholders in the cancer care pathway. However, it is known and increasingly documented that these are issues of concern for patients and their partners, who consider, for the vast majority, that their sexual health and/or their parental plans are important issues. For more than 10 years now, a French language group of experts (GEX– Oncosexuality/oncofertility expert group of the Association francophone pour les soins oncologiques de support), composed of professionnals involved in oncology, reproductive or sexuality medicine (e.g.,… More >