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Genetic Algorithm-Based Computed Tomography Image Analysis for the Diagnosis and Mental Health of COVID-19 Patients in Early Low-Incidence Areas
2021
Scientific Programming
The purpose of this study was to investigate the diagnosis of patients in the early low-incidence area of coronavirus disease 2019 (COVID-19) and the mental health of staff based on genetic algorithm- (GA-) based computed tomography (CT) images. In this study, 136 COVID-19 patients admitted to our hospital were divided into a critical group (94 cases) and a general group (42 cases). In addition, a questionnaire was used to investigate the mental health of COVID-19 patients in early
doi:10.1155/2021/2297206
fatcat:nnzwcdjwqndutcagvvhgkmoyga