Personalized Preventive Corticosteroid Medication Recommendation System for Postacute COVID-19 Treatment
preprintposted on 19.09.2021, 19:24 by Vojtech Myska, Radim BurgetRadim Burget, Samuel Genzor, Anzhelika Mezina, Jan Mizera, Michal Stybnar, Malay Dutta
Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is a pathogen responsible for one of the most massive pandemics in modern history. In certain patients with prolonged resorption of pulmonary involvement, organizing pneumonia develops which may lead to irreversible ﬁbrotic damage of the lungs. According to some studies, corticosteroid treatment increases the chance for successful recovery. However, the distinction between patients who would beneﬁt from corticotherapy, and those, who would recover spontaneously, is unclear. This paper introduces an artiﬁcial intelligence-based recommendation system for a personalised selection of patients for corticotreatment. In this study, 101 patients were enrolled. Every patient conducted an examination at the start and 3 months after the post-COVID treatment. It included physical examination, blood tests, functional lung tests, and health state based on the high-resolution computed tomography scan results. The proposed methodology recommends the application of CS and achieved balanced accuracy 86.18% whether a patient will recover or not without CS medication. The study identiﬁes the most accurate algorithm and the most signiﬁcant attributes for this prediction. This paper also introduces a simpliﬁed and easy human-interpretable model, which reaches 83.23% balanced accuracy.
Early COVID-19 infection detection system for the safety of vulnerable groups using artificial intelligence
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