Publications by authors named "Danilo Carlotti"
Bloodstream infection (BSI) is associated with increased morbidity and mortality in the pediatric intensive care unit (PICU) and high healthcare costs. Early detection and appropriate treatment of BSI may improve patient's outcome. Data on machine-learning models to predict BSI in pediatric patients are limited and neither study included time series data.
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- A study aims to improve COVID-19 patient management by creating a computational model that analyzes electronic medical records to find correlations between drug prescriptions and patient outcomes.
- The research involved data from 3,674 hospitalized patients, focusing on drug prescriptions and their relationship to whether patients were discharged alive or deceased, using advanced machine learning techniques for analysis.
- Results indicated that anticoagulants improved prognosis when given after the first week of symptoms, while commonly prescribed antibiotics did not significantly affect patient outcomes, signifying a potential reevaluation of treatment strategies.