Scientists at the Southern Ural State University (SUSU) along with colleagues from Spain, France and Egypt have developed a model for more effectively diagnosing cardiovascular disease and diabetes using artificial intelligence and the Internet of Things technology.

This work was supported by the Russian Ministry of Science and Higher Education. A new model for diagnosing diseases was described in an article published in the highly rated journal IEEE approach (P1).

Wise applications for medicine

Senior Researcher of System Programming Department, Ph. D. in Machine learning Kumar Sachin, together with scientists from other countries, creating a new model for the operation of digital applications and their application in medicine.

Recent advances in the Internet of Things, cloud computing, and artificial intelligence have turned the traditional health care system into an intelligent system. Health care services can be significantly improved by using the Internet of Things and artificial intelligence. Now advanced methods and scientific theory generate large amounts of digital data that can be applied to create clinical applications based on the Android operating system.

Clinical applications are one of the latest information technology products. Intelligent healthcare is supposed to use simple, elegant and multi-tasking applications. These applications contribute to the evolution of the clinical model of medicine, namely the transition from standard treatment of the disease according to the scheme to the treatment of a specific patient.

Kumar Sachin, Senior Researcher, System Programming Department, Southern Ural State University

“There should be changes in the development of medical computerization from generalized medical records to regional medical records. Thus, clinical patient management will become more person-centered than medical statistics. Ideally, we should move on. “These changes are aimed at improving the health care system, which, in turn, improves knowledge in the field of medicine and implies a transition to intelligent medicine,” says Kumar Sachin.

Doctors, patients, clinical and research centers are interested in providing better medical services using the latest technologies. There are many parameters to consider when applying these technologies: disease prevention and surveillance, prognosis and treatment, clinical management, health decision making, and medical research.

Mobile Internet, cloud computing, big data, 5G systems, microelectronics and artificial intelligence, as well as intelligent biotechnologies, are used at every stage of “smart” healthcare. Portable devices can be used to monitor the health status of patients when needed. Patients themselves will be able to receive clinical referrals through virtual support and remote control devices, and physicians will be able to use intelligent clinical decision-making systems to select and improve the quality of diagnostic procedures.

Collection of information from all devices

Devices that use the Internet of Things surround us in everyday life: these are smartwatches, fitness bracelets and smartphones, portable ECG devices, blood pressure monitors, blood glucose meters and thermometers. These devices track the level of physical activity, heart rate, blood glucose levels, they are convenient to use and known, do not need to invent new technology for them.

The idea of ​​the scientists is to create a universal application that can collect data from various devices and translate them into a compatible format. Thus, the smartphone processes and organizes them. Based on the complex information obtained, a number of medical recommendations will be created for a specific patient, taking into account his indicators.

“The model we introduced includes various stages: data collection, pre-processing, classification and parameter adjustment. Portable IoT devices and sensors allow you to collect data without hindrance, while artificial intelligence methods use them to diagnose Based on these indicators, it is possible to determine how good the lifestyle of a patient with a particular disease is.The smartphone processes the data received through a Bluetooth connection with low power consumption and classifies them as healthy, within normal limits, or as ill, explains the scientist.

The effectiveness of the new model was confirmed by the use of health data. During the experiments, the presented model achieved a maximum accuracy of 96.16% and 97.26% in the diagnosis of heart disease and diabetes, respectively. Thus, the proposed model can be used as a convenient tool for diagnosing diseases for an intelligent health care system.

The Southern Ural State University (SUSU) is a university of digital transformations, where innovative research is conducted in the most priority areas of science and technology development. In line with the scientific and technological development strategy of the Russian Federation, the university is focused on the development of major interdisciplinary scientific projects in the field of digital industry, materials science and ecology.

In the Year of Science and Technology, SUSU will participate in the competition under the program “Priority-2030”. The University performs the functions of the regional project office of the world-class Ural Interregional Scientific and Educational Center (UMNOC).


Southern Ural State University

Diary reference:

Mansour, RF, et alWith (2021) Artificial Intelligence and the Disease Diagnosis Model for Systems for Smart Healthcare Systems. IEEE approach.