Browsing by Author "Alcan,P."

Now showing 1 - 3 of 3

Citation Count: 0
The Importance of the Internet of Things in Neurological Disorder: A Literature Review
(CRC Press, 2023) Alcan,P.
The Internet of Things (IoT) and information technologies applied in the improvement of healthcare operations have reached an important point. In the dayswe live, especially after the pandemic, it has become even more important to research various technologies under the title of health4.0 to strengthen health services. IoT was improved to combine existing medicinal sources and ensure individuals with the most trustworthy and most efficient healthcare services. One of the greatest opportunities IoT has to offer is hidden in immanent connectivity. Thus, smart services such as remote patient tracing/monitoring, hometherapy, and assisted living platforms are possible. In recent years, neurological diseases have come to the fore more than all other diseases. When the literature is searched, it is seen that the number of articles examining the studies on neurology and IoT is quite limited. In recent years, the interpretation of large volumes of complex electronic data, especially in health systems, is of great importance. Interpreting this data can also introduce important challenges. Deep learning is well suited to tackling these challenges. The motivation and the contribution of the chapter proceeds precisely from this point. The purpose of this article is to summarize the most fundamental practices of IoT in neurology. © 2023 selection and editorial matter, Jyotismita Chaki; individual chapters, the contributors.
Citation Count: 2
Internet of Things (loT) in Healthcare Systems
(IGI Global, 2020) Alcan,P.
Health is the basic ability that people need to perceive, feel, and act effectively in their lives. Therefore, it constitutes the primary element in the development of the individual and in the environment in which people belong. In order to strengthen health services in the days we live, comprehensive researches are being conducted under the title of Health 4.0 to investigate various technologies. The internet of things (RFID, cloud computing, etc.) is developed to connect existing medical resources and provide patients with the most reliable, smartest, and most effective healthcare services. The aim of this chapter is to summarize the most basic applications of IoT in the health industry. © 2020, IGI Global.
Citation Count: 2
MRI Image Analysis with Deep Learning Methods in Brain Tumor Diagnosis
(Springer Science and Business Media Deutschland GmbH, 2022) Kırelli,Y.; Arslankaya,S.; Alcan,P.
The use of Magnetic Resonance Images (MRI) is a frequently used tool in disease detection. The use of healthcare professionals to examine MRI images and to identify diseases are among traditional methods. Therefore, one way to improve clinical health care is to present and analyze medical images more efficiently and intelligently. Brain tumors can be of different types, and accordingly, they can cause serious health problems in adults and children. Such bulks can occur anywhere in the brain in different sizes and densities. This is not a standardized situation due to its nature. The diagnoses are revealed by the experts by analyzing the tumor images manually. In the proposed model, it is aimed at automating the process and reducing human errors in the system. The model is based on the deep learning technique, which is a probabilistic neural network to identify unwanted masses in the brain. In this study, a model has been created with VGG and CNN (Convolutional Neural Network) architectures, which are among the deep learning techniques. The performance values of the model outputs, accuracy, error rates, and specificity separators are discussed comparatively. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.