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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2011, 16(1), pp.175-182
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Youngho Lee 1 Un Gu Kang 1 Eun-Young Jung 2 윤은실 1 박동균 1

1가천의과학대학교
2가천의과대길병원

Accredited

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.

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