Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room. | Available online http content 9 2 R150 Research Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room Fabian Jaimes1 Jorge Farbiarz2 Diego Alvarez3 and Carlos Martinez4 Associate Professor Department of Internal Medicine and Escuela de Investigaciones Médicas Aplicadas EIMA - GRAEPI School of Medicine Universidad de Antioquia Medellin Colombia 2Chairman Department of Physiology Universidad de Antioquia Medellin Colombia 3Assistant Professor Department of Physiology Universidad de Antioquia Medellin Colombia 4Assistant Physician Department of Internal Medicine Division of Pulmonary and Critical Care Medicine Fundacion Santa Fe de Bogota Bogota Colombia Open Access Corresponding author Fabian Jaimes fjaimes@ Received 5 October 2004 Revisions requested 1 December 2004 Revisions received 1 7 December 2004 Accepted 13 January 2005 Published 17 February 2005 Critical Care 2005 9 R150-R156 DOI cc3054 This article is online at http content 9 2 R150 2005 Jaimes et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Introduction Neural networks are new methodological tools based on nonlinear models. They appear to be better at prediction and classification in biological systems than do traditional strategies such as logistic regression. This paper provides a practical example that contrasts both approaches within the setting of suspected sepsis in the emergency room. Methods The study population comprised patients with suspected bacterial infection as their main diagnosis for admission to the emergency room at two University-based hospitals. Mortality within the first 28 days from admission was .
