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http://dx.doi.org/10.9708/jksci.2011.16.1.175

A CAOPI System Based on APACHE II for Predicting the Degree of Severity of Emergency Patients  

Lee, Young-Ho (u-healthcare Institute, Gachon University of Medicine and Science)
Kang, Un-Gu (u-healthcare Institute, Gachon University of Medicine and Science)
Jung, Eun-Young (u-Healthcare Center, Gachon University Gil Hospital)
Yoon, Eun-Sil (u-healthcare Institute, Gachon University of Medicine and Science)
Park, Dong-Kyun (u-Healthcare Center, Gachon University Gil Hospital)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.1, 2011 , pp. 175-182 More about this Journal
Abstract
This study proposes CAOPI(Computer Aided Organ Prediction Index) system based on APACHE II(Acute Physiology And Chronic Health Evaluation) for classifying disease severity and predicting the conditions of patients' major organs. The existing ICU disease severity evaluation is mostly about calculating risk scores using patients' data at certain points, which has limitations on making precise treatments. CAOPI system is designed to provide personalized treatments by classifying accurate severity degrees of emergency patients, predicting patients' mortality rate and scoring the conditions of certain organs.
Keywords
ICU; APACHE Score; Real-time System; Healthcare;
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