Using an AI-driven decision support system to predict the severity of COVID-19 and identify best interventions, researchers analyzed electronic health record data from 5,371 patients admitted to a South Florida hospital. The study specifically aimed to forecast the likelihood of patients requiring admission to an ICU, with or without mechanical ventilation, or an intermediate care unit (IMCU). The goal was to leverage these features to enable faster and more accurate forecasting of treatment plans, potentially preventing critical conditions from worsening.
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