Post COVID 19

Post-COVID-19 syndrome, or "Long COVID," encompasses a wide range of persistent symptoms affecting multiple organ systems weeks or months after initial infection. Current research heavily utilizes machine learning algorithms, such as random forests and support vector machines, to predict the risk of long-term complications like renal impairment, cardiovascular issues, gastrointestinal problems, and neurological sequelae, as well as mental health disorders. These predictive models aim to enable earlier interventions and personalized treatment strategies, improving patient outcomes and informing healthcare resource allocation. The integration of machine learning with other methods, such as survival analysis and discrete event simulation, is enhancing the efficiency and effectiveness of post-discharge care management.