@ARTICLE { Rsds1023,
author = {Wilk, Szymon and Slowinski, Roman and Rubin, Steven and Michalowski, Wojtek}, 
title = {Mobile clinical support system for pediatric emergencies}, 
journal = {Journal of Decision Support Systems}, 
number = 	{(no. 2)}, 
volume = 36, 
pages = {161-176}, 
publisher = {Elsevier Science Inc.}, 
address = {Amsterdam, The Netherlands}, 
year = 2003, 
abstract = {This paper describes the process and methodology of designing and developing a mobile support system to triage abdominal pain in the emergency room (ER) of a hospital. Application of rough sets theory and fuzzy measures to data collected at Children's Hospital of Eastern Ontario allowed us to identify the most relevant clinical symptoms and signs while evaluating an abdominal pain patient. This information was used to develop a multilevel clinical algorithm that forms the reasoning module of a clinical support system. We describe a client system called Mobile Emergency Triage (MET) that is installed on Palm handheld and that can be used to triage a child irrespective of the available information. We present MET's functions allowing for the electronic data capture and wireless data transfer.}, 
keywords = {clinical decision support system, data mining, }, 
}