Pulmonary Fibrosis (PF) is an immedicable respiratory condition distinguished by permanent fibrotic alterations in the pulmonary tissue for which there is no cure. Hence, it is crucial to diagnose PF swiftly and precisely. The existing research on deep learning-based pulmonary fibrosis detection methods has limitations, including dataset sample sizes and a lack of standardization in data preprocessing and evaluation metrics.
View Article and Find Full Text PDFCognitive assessment plays a vital role in clinical care and research fields related to cognitive aging and cognitive health. Lately, researchers have worked towards providing resolutions to measure individual cognitive health; however, it is still difficult to use those resolutions from the real world, and therefore using deep neural networks to evaluate cognitive health is becoming a hot research topic. Deep learning and human activity recognition are two domains that have received attention for the past few years.
View Article and Find Full Text PDFInternet of Things (IoT)-assisted skin cancer recognition integrates several connected devices and sensors for supporting the primary analysis and monitoring of skin conditions. A preliminary analysis of skin cancer images is extremely difficult because of factors such as distinct sizes and shapes of lesions, differences in color illumination, and light reflections on the skin surface. In recent times, IoT-based skin cancer recognition utilizing deep learning (DL) has been used for enhancing the early analysis and monitoring of skin cancer.
View Article and Find Full Text PDFFood image classification, an interesting subdomain of Computer Vision (CV) technology, focuses on the automatic classification of food items represented through images. This technology has gained immense attention in recent years thanks to its widespread applications spanning dietary monitoring and nutrition studies to restaurant recommendation systems. By leveraging the developments in Deep-Learning (DL) techniques, especially the Convolutional Neural Network (CNN), food image classification has been developed as an effective process for interacting with and understanding the nuances of the culinary world.
View Article and Find Full Text PDFIn recent years, the rapid progress of Internet of Things (IoT) solutions has offered an immense opportunity for the collection and dissemination of health records in a central data platform. Electrocardiogram (ECG), a fast, easy, and non-invasive method, is generally employed in the evaluation of heart conditions that lead to heart ailments and the identification of heart diseases. The deployment of IoT devices for arrhythmia classification offers many benefits such as remote patient care, continuous monitoring, and early recognition of abnormal heart rhythms.
View Article and Find Full Text PDFBackground: Understanding individual differences in psychology, and how they relate to specific addictions, may allow society to better identify those at most risk and even enact policies to ameliorate them. Internet addiction is a growing health concern, a research focus of which is to understand individual differences and the psychology of those most susceptible to developing it. Western countries are strongly overrepresented in this regard.
View Article and Find Full Text PDFWith continuous advancements in Internet technology and the increased use of cryptographic techniques, the cloud has become the obvious choice for data sharing. Generally, the data are outsourced to cloud storage servers in encrypted form. Access control methods can be used on encrypted outsourced data to facilitate and regulate access.
View Article and Find Full Text PDFAugmentative and alternative communication systems have been successfully used to help pupils with intellectual and developmental disabilities for functional communication skills. Whereas the effects of the GoTalk NOW application (app) available on the iPad have been investigated, no such study has been conducted in Saudi Arabia. This study investigated the effects of the "model, lead, and test" (MLT) technique paired with the GoTalk NOW app, which is used to teach four children with intellectual and developmental delays to correctly request.
View Article and Find Full Text PDFEarly intervention programs play an important role in supporting young children with disabilities and developmental disorders in acquiring various life skills before they reach school-going age. The present study aims to examine the current practices of the Individualized Family Service Plan (IFSP) for young children with disabilities in Saudi Arabia using a quantitative design. A sample of 212 early intervention providers-males ( = 35; 16.
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