Mortality Rate Prediction for Patients Admitted to Intensive Care Unit Based on APACHE IV

Abstract

Mohammad Karimi Moridani

One of the important units of the hospital is the intensive care unit, which provides specialized services to patients with acute conditions. In this paper, we introduce an instrument that can improve ICU services to patients, differenti- ate critical patients, optimize ICU beds, and examine the severity of their disease. To predict the mortality rate, Phys- iont's database for computing in cardiology challenge (CinC) was used. The survival rate of patients hospitalized in the ICU was 85.33% out of 300. Among the patients, the acute physiology and chronic health evaluation (APACHE) IV scores ranged from 18 to 90, averaging 57.43±18.6. Using the APACHE IV tool, the predicted mortality rate was 24.19%, and the observed mortality rate was 35.67%. Calculations indicated that the average score of APACHE IV for the survivors was 46.84, and for the non-survivors, it was 69.35. As a result, APACHE IV proved to be a valuable tool for nurses and doctors to predict the future conditions of patients and how they will respond to the treatment process.

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