ARTIFICIAL INTELLIGENCE IN PROBLEMS OF DIAGNOSTICS OF ACUTE POISONINGS (USING AN EXAMPLE OF DIFFERENTIAL DIAGNOSIS OF CARBON MONOXIDE POISONINGS) (23-30)

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Дата публикации статьи в журнале: 2020/11/18
Название журнала: Восточно Европейский Научный Журнал, Выпуск: 62, Том: 8, Страницы в выпуске: 23-30
Автор: Abdullaeva G.G.
, Institute of Management Systems of the National Academy of Sciences of Azerbaijan , Docent, PhD in Mathematics
Автор: Mirzazade I.Kh.
, Institute of Mathematics and Mechanics of the National Academy of Sciences of Azerbaijan , Docent, PhD in Physics and Mathematics
Автор: Naghizade H.R.
, Institute of Mathematics and Mechanics of the National Academy of Sciences of Azerbaijan ,
Анотация: Differential diagnosis during acute poisonings with chemical substances was and remains one of topical problems of toxicology. This paper treats chemical substances for which time is the predominant factor of consequence prevention, especially in cases of rendering the first prehospital aid. The training of quick actions in medical personnel brought to automatism is topical just in these cases of urgent therapy. Let us note that such chemical substances as carbon monoxide, cyanide, tranquilizers, antihistaminic substances and salicylates manifest themselves through identical symptoms in prehospital practice. The aim of this research is the development of a system of differential diagnosis and decision making for poisonings with similar substances, i.e. rendering the urgent aid. The problem becomes complicated in those cases when diagnosis is made on the basis of clinical manifestations on the site of occurrence, especially if a patient is in a comatose state. As material to be researched are taken data accumulated throughout 2006-2018 which are presented by the Central Ambulance and Emergency Station of Baku city. Currently knowledge-based information technologies can become the most important consultant tool for rendering the first aid and resolving diagnosis problems.
Ключевые слова: carbon monoxide   differential diagnosis   neuronal network   antidote therapy   first prehospital aid  
Данные для цитирования: Abdullaeva G.G. , Mirzazade I.Kh. , Naghizade H.R. . ARTIFICIAL INTELLIGENCE IN PROBLEMS OF DIAGNOSTICS OF ACUTE POISONINGS (USING AN EXAMPLE OF DIFFERENTIAL DIAGNOSIS OF CARBON MONOXIDE POISONINGS) (23-30). Восточно Европейский Научный Журнал. Физико-математические науки. 2020/11/18; 62(8):23-30.

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