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- Title
NESNELERİN İNTERNETİ TABANLI SAĞLIK İZLEME SİSTEMLERİ ÜZERİNE BİR ÇALIŞMA.
- Authors
Akleylek, Sedat; Kılıç, Erdal; Söylemez, Burcu; Aruk, Tahir Ergun; Aksaç, Ceyda
- Abstract
In the healthcare industry, early diagnosis or predictions are very important. Although this is important for the quality and effectiveness of the treatment, it also means vital interventions for critical diseases. The most important step for prediction and early diagnosis is the continuous monitoring of the data. Continuous monitoring and analysis of personal data can enable abnormal situations to be detected immediately. To achieve this, IoT technology is very suitable. IoT technology enables data to be shared within the area and with remote servers. Thus, wherever patients are, their data can be followed. This fact significantly increases the system's ability to predict diseases. There are many sensors in IoT systems. These sensors are selected according to the characteristics and purpose of the systems. A lot of parameter information is obtained with these sensors. In this work, we reviewed health monitoring systems and made several recommendations.
- Subjects
INFORMATION sharing; PERSONALLY identifiable information; INTERNET of things; EARLY diagnosis; TREATMENT effectiveness
- Publication
SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi, 2020, Vol 8, p80
- ISSN
1308-6693
- Publication type
Article
- DOI
10.21923/jesd.831844