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AIME
2005
Springer

Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System

9 years 8 months ago
Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System
We have developed an algorithm for triaging acute pediatric abdominal pain in the Emergency Department using the discovery-driven approach. This algorithm is embedded into the MET-AP (Mobile Emergency Triage - Abdominal Pain) system – a clinical decision support system that assists physicians in making emergency triage decisions. In this paper we describe experimental evaluation of several data mining methods (inductive learning, case-based reasoning and Bayesian reasoning) and results leading to the selection of the rule-based algorithm.
Jerzy Blaszczynski, Ken Farion, Wojtek Michalowski
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where AIME
Authors Jerzy Blaszczynski, Ken Farion, Wojtek Michalowski, Szymon Wilk, Steven Rubin, Dawid Weiss
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