A medical monitoring scheme and health‐medical service composition model in cloud‐based IoT platform

• Published in: Transactions on emerging telecommunications technologies Vol. 30; no. 6
• Main Authors: Asghari, Parvaneh, Rahmani, Amir Masoud, Haj Seyyed Javadi, Hamid
• Format: Journal Article
• Language: English
• Published: 01.06.2019
• ISSN: 2161-3915; 2161-3915
• DOI: 10.1002/ett.3637

Advanced technologies such as internet of things (IoT) and clouds have significantly influenced on modern medical monitoring systems. Analytical statistics derived from massive patients' medical data via different data analysis methods, contribute in remote medical monitoring, early diagnosis of diseases, predicting clinical events, and recommending vital health/medical instructions. According to existence of the same health/medical services in functional aspect, finding appropriate composite health/medical services by the patients has been remained as a major concern in modern medical systems. Regarding this challenge, in this paper, a medical monitoring scheme for cloud‐based IoT platform is proposed, in which the patients' medical conditions are derived through predicting diseases by mining her physiological data collected from IoT devices and other medical records. A disease diagnosis model is used to analyze the patients' medical data for the aim of offering a composite health/medical prescription. After confirming the outcomes by medical team, it is sent to the patient. Then, the patient indicates her nonfunctional requirements such as location, cost and time to find the most appropriate composite health/medical service based on her preferences. Experimental results reveal that the proposed scheme is successful in achieving effective diseases diagnosis for offering composite health/medical prescriptions. The objective of this paper is to present an inclusive scheme for modern medical monitoring systems that apply emerging technologies such as IoT and clouds in which, the proper medical prescriptions are offered by the system based on the derived diagnosis results, in order to provide a medical recommendation that suggests a composite medical‐health service based on the patients' location and their preferences such as cost and time limitations in a cloud‐based IoT context.