A group of international scientists, including Togliatti State University experts, created artificial intelligence for the diagnosis of chronic obstructive lung disease (Hobble) at an early stage with the sound of cough and KT paintings. The program analyzes all the information received and gave a diagnosis with 99.97%accuracy, Gazeta.ru was said in TSU.
Chronic obstructive pulmonary disease or COPD is a common pathology of the bronchopulmonary system. It is based on a chronic inflammatory process in Bronchi, which leads to changes in the wall of the bronchial tree, a large amount of release, and as a violation of the evacuation of sputum, and as a result – the bronchus causes the air movement.
Cobble is included in the first 3 causes of deaths. Hold in Russia is the first cause of death among all respiratory diseases. In the early stages, chronic obstructive pulmonary disease is secretly progressing and not always detected in time, so it is important to create new diagnostic methods.
One of these methods is the Fuzzzyguard program developed in TSU and uses several different sources of information to recognize.
“Using machine learning methods, Fuzzzyguard analyzes the sound of the patient’s cough, listens to how the lungs work, then combines and analyzes all this information special“ intelligent ”algorithms (neuro sealing networks) (neuro-free networks).
In the future, on the basis of development, scientists plan to create a system that can define not only COPD but also related disorders, but also predict heart attacks or cardiac -based heart attacks, define asthma, and predict life expectancy based on the clinical characteristics of the patient.
Previously, for the first time in the world, scientists of the Russian Federation Created A molecule that determines prostate cancer in two markers.
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Source: Gazeta
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