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Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).
Sidney Le, Emily Pellegrini, Abigail Green-Saxena, Charlotte Summers, Jana Hoffman, Jacob Calvert, Ritankar Das
Jul 24, 2020
PURPOSE: Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mortality and associated morbidity. The objective of this study is to develop and evaluate a novel application of gradient boosted...
acute respiratory distress syndrome clinical decision support systems Electronic Health Records intensive care unit Machine Learning Medical Informatics Adolescent Adult Aged Area Under Curve Critical Care Databases Factual Early Diagnosis Female Humans Intensive Care Units Male Middle Aged ROC Curve Respiratory Distress Syndrome Retrospective Studies Risk Factors Supervised Machine Learning Young Adult
What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation
EG Liberati, F Ruggiero, L Galuppo, M Gorli, M González-Lorenzo, M Maraldi, P Ruggieri, H Polo Friz, G Scaratti, KH Kwag, R Vespignani, L Moja
Sep 18, 2017