Medical decision support using machine learning for early detection of late-onset neonatal sepsis.

CONCLUSIONS: Predictive models developed from off-the-shelf and EMR data using ML algorithms exceeded the treatment sensitivity and treatment specificity of clinicians. A prospective study is warranted to assess the clinical utility of the ML algorithms in improving the accuracy of antibiotic use in the management of neonatal sepsis. PMID: 24043317 [PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/24043317?dopt=Abstract

Source: Journal of the American Medical Informatics Association - September 16, 2013 Category: Information Technology Authors: Mani S, Ozdas A, Aliferis C, Varol HA, Chen Q, Carnevale R, Chen Y, Romano-Keeler J, Nian H, Weitkamp JH Tags: J Am Med Inform Assoc Source Type: research