ABSTRACT
Uzbekistan as well as the rest of the world faces the third wave of COVID-19 and uses machine learning algorithms to predict the adverse outcome during the admission of new patients. We collected the dataset of 1145 patients admitted to the Republican Center for Emergency Medicine. We use different machine learning models to predict the COVID-19 severe course. This study uses feature selection procedures based on statistical tests and the elimination of linearly dependent features. The resulting multilayer perceptron yields a ROC AUC of 86.9% on the test set outperforming other machine learning algorithms and several competing works. The model relies on easily collected features without blood laboratory testing. It increases an availability of the reliable risk prediction to developing countries. © 2022, Springer Nature Switzerland AG.
ABSTRACT
A retrospective analysis of 561 patients with confirmed COVID-19 was performed to determine the risk factors for severity and mortality which could predict the disease outcome in early stages. Patients were divided into 4 groups in accordance with disease severity: mild, moderate, severe and critical. And initial clinical and laboratory parameters of patients at admission were studied. The age of severe and deceased patients was significantly higher than patients with mild and moderate course (р=0.003). Patiens with severe disease and fatal outcome had higher incidence of concomitant diseases compared to patients with mild and moderate course (p=0.01). The time passed from onset of first symptoms and hospital admission was shorter in patients with mild and moderate disease than patients with severe and critical disease (р=0.0001). The leukocytosis, significant lymphopenia (р=0.0001), high D-dimer and ferritin levels were associated with severe disease. Male gender, old age, presence of concomitant diseases should be considered as risk factors for severe course and death at COVID-19. Copyright (c) 2021: Author(s).
ABSTRACT
About 7 months, the whole world has been plunged into the coronavirus pandemic. And each time, caronavirus infection surprises medical workers with its new abilities to affect various organs and systems of the body, which makes it more dangerous for humanity [5, 6]. Unfortunately, for now, there is no specific treatment and prevention for Covid-19 have not find out [7, 8]. Non-specific prophylaxis of coronavirus infection is aimed at to close borders and to stop spreading of Covid-19 into the territory of the Republic, regulated by the Resolution of the Cabinet of Ministers of the Republic of Uzbekistan dated March 23, 2020 No. 176 "On additional measures to prevent the spread of coronavirus infection", By the Decree of the President of the Republic of Uzbekistan No. PP-4649 dated March 26, 2020 "On additional measures to prevent the wide spread of coronavirus infection in the Republic of Uzbekistan", by the Decree of the President of the Republic of Uzbekistan No. PP-4652 dated March 26, 2020 "On additional measures to support medical workers and employees of the sanitary and epidemiological service involved in countering the spread of coronavirus infection. " Despite certain advances in drug therapy for patients with Covid-19, the number of temporary disability of patients for several months is increasing, as well as complications associated with thrombosis of the vessels of the heart and brain, leading to disability for all life. In this regard, the improvement of methods of prevention and treatment in the rehabilitation period of patients with Covid-19 remains an urgent problem of medicine. During many years in medical practice we use infrared resonance therapy according to the method of R.Kh. Rakhimov to treat various diseases, to disinfect viral infections, pathogenic microflora and to improve vascular microcirculation, as well as to increase immunity [1, 2, 3 and 4].