The Hospital Clínic’s cardiology service and the research group IDAL from the Universitat’s Department of Electronic Engineering have jointly developed a tool for assisting the clinical decision predicting the risk of angina pectoris. It is a tool aimed at patients who come to the emergency department suffering from chest pain of unclear origin, and not being suspected of having acute myocardial infarction, might be suffering from unstable angina pectoris.
This tool could assist the doctors in their daily decisions and it could optimize human and economical resources since it allows to discard irrelevant medical cases not demanding hospital stays.
The mentioned tool predicts angina pectoris risk on the basis of the standard clinical assessment results of emergency rooms. It takes into account chest pain and data related to patient’s medical records. The tool’s operation is based on a population of more than 1,000 recorded cases in the Hospital Clínic’s cardiology service. It has been developed under a research line directed by Doctor Juan Sanchis.
The tool’s success rates for cases of patients not suffering from angina pectoris (negative predictive value) are 92%, which goes far beyond the clinical standards to apply these methods (more than 80% in negative predictive value).
The use of this tool is simple due to its web interface, which may be used from any emergency point having access to the internet.
The research group Intelligent Data Analysis Laboratory (IDAL) in the Department of Electronic Engineering (http://idal.uv.es), headed by professor Emilio Soria, is specialized in developing systems based on computational intelligence to draw information related to different science and engineering fields. IDAL has successfully applied these techniques on several fields such as medicine -cardiology, urology, radiology, internal medicine, etc- pharmacy -pharmaco-kinetic, dose optimization, etc.- atmosphere prediction models, data mining for web and marketing applications, etc.
The research group headed by Juan Sanchis has been working on the assessment of risk in patients suffering from acute coronary syndrome, using both clinical features and laboratory bio-markers. They have developed risk scores from simple clinical information in order to optimize hospital stays.
Last update: 26 de january de 2012 09:56.
News release
