Samson Mataraso

Abstract Childhood illnesses from infectious diseases in low- and middle-income countries contribute substantially to the global under-five mortality. Many hospitalized children experience incomplete recovery, readmission, and post-discharge mortality despite guideline-directed care. However, targeted interventions remain elusive due to limited understanding of underlying mechanisms.

ArticleOnline now102548Open access 1Department of Genetics, Stanford University School of Medicine, 240 Pasteur Drive, Palo Alto, CA 94304, USA 2Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA 3Department of Biomedical Data Science, Stanford University School of Medicine, 1265 Welch Road, Stanford, CA 94305, USA 4Department of Pediatrics, Stanford University School of Medicine, 725 Welch Road,...

Discussion The use of the machine learning-based predictor resulted in significant decreases in LOS and in-hospital mortality rate during this randomised controlled trial. Specifically, we found a 20.6% decrease in average hospital LOS from 13.0 to 10.3 days (p=0.042) and a 12.4% decrease in in-hospital mortality rate from 21.3% to 8.96% (p=0.018) when using the MLA.