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Scientists from South Ural State University (SUSU), along with colleagues from France, Spain, and Egypt, have created a model that can be used to diagnose cardiovascular diseases and diabetes more effectively using artificial intelligence and Internet of Things technology.
The Russian Ministry of Science and Higher Education supported this work. In an article published in the highly-rated journal IEEE Access, a new method for diagnosing disease was presented.
Smart applications for medicine Senior Researcher at the Department of System Programming. Ph. Dr. in Machine Learning Kumar Sachin and other scientists created a new model to operate digital applications as well as their use in medicine.
The Internet of Things, cloud computing and artificial intelligence are making the traditional healthcare system more intelligent. The Internet of Things, artificial intelligence and cloud computing can significantly improve healthcare services. Advanced scientific theories and advanced methods now generate large amounts of digital data which can be used to create clinical apps based on Android OS.
“There should be a shift in medical informatization development from generalized medical information to regional medical data. The clinical management of patients will be more person-centered than based on medical statistics. We should shift from treating diseases to a preventive system of medicine. These changes are intended to improve the healthcare system which in turn increases knowledge in medicine and implies a transition towards intelligent medicine,” states Kumar Sachin.
Patients, doctors, and clinical research centers all want better medical services. These technologies can be applied in many ways. They can be used to prevent and monitor disease, provide treatment options, manage clinical issues, make medical decisions, and aid patients.
At every stage of smart healthcare, mobile Internet, cloud computing and big data are all used. Patients can be monitored by portable devices. Patients will be able receive virtual support and control devices remotely to get clinical recommendations. Doctors will also be able use intelligent clinical decision-making to improve and select the quality of diagnostic procedures.
The Internet of Things is used by devices that are everywhere we go in our daily lives: smartwatches, fitness bands, smartphones, ECG devices, portable ECG devices and blood glucose meters. These devices track your heart rate, blood glucose, and level of physical activity. They are easy to use and can be used in everyday life.
Scientists have a vision of a universal app that can gather data from various devices and convert it into a compatible format. The smartphone organizes and processes them. Based on the complex information received, the smartphone will create a series of medical recommendations for a specific patient.
The model we have presented has several stages: data collection and pre-processing, classification, parameter adjustment, and classification. The use of portable IoT sensors and devices allows you to gather data without any hindrance. Artificial intelligence techniques can then be used to diagnose diseases. These indicators can be used to assess the quality of life for patients with particular diseases. The smartphone uses low power consumption Bluetooth connections to process the data and classifies it as either healthy, normal, or unhealthy. The scientist explained.
Health data confirmed the effectiveness of the model. The model was able to diagnose heart disease and diabetes with a maximum accuracy rate of 96.16 and 97.26 percent, respectively, during the experiments. The model is suitable for diagnosis of diseases in an intelligent healthcare system.
South Ural State University is a university for digital transformations. It is a university that conducts innovative research in all areas of science and technology. The university’s mission is to develop large-scale scientific interdisciplinary projects in science and technology, as well as ecology, in accordance with Russia’s strategy for scientific and technological advancement.
SUSU will participate in the competition “Priority-2030” during the Year of Science and Technology. The university is the regional project office for the Ural Interregional World Class Scientific and Educational Center (UMNOC).
South Ural State University
Mansour, R. F., et al. (2021) Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems. IEEE Access. doi.org/10.1109/ACCESS.2021.3066365.
