PROSPECTS OF USING A NEURAL NETWORK FOR THE CLASSIFICATION OF LUNG DISEASES

Atamanenko Vadim

At the present stage of social development, the healthcare system needs a fundamentally new approach focused on the global introduction of information technologies focused on the use of artificial intelligence to support appropriate decision-making. Decision-making related to the classification of various diseases is no exception. Lung diseases, over the past few years, taking into account the pandemic of coronavirus infection caused by the virus (covid-19) the number of cases came to the fore. However, the problems that medical organizations face when making appropriate medical decisions have not yet been solved. Of all the variety of problems, the most serious concern the impossibility of timely diagnosis of the severity of the disease. The reasons for this problem lie in both theoretical and practical problems related to the classification of lung disease depending on the severity of the disease. In the context of this study, it is proved that a partial solution to the problem is possible with technical solutions in the healthcare system, which are based on an artificial intelligence system built on the training of artificial neural networks to classify lung diseases. Such technical solutions will allow medical professionals to minimize the number of errors that occur when making decisions and make medical care for patients more effective and of high quality.

Keywords:classification of lung diseases; artificial intelligence; neural networks; decision support systems; healthcare system