A Computer-Aided Decision Support in Acid-Base Metabolic Disorders

A. ENIU, Zoe ENIU, Ştefan ŢIGAN, Andrei ACHIMAȘ CADARIU

Abstract


This paper describes  a  decision support system aiming to assist clinicians in assessing acid-base metabolic disorders. The system is computing acid-base derived parameters from Astrup data. The inference mechanism, based on a binary decision tree classifies the disturbance in one of twelve classes. Finally, a suggested therapy is derived. The system is designed to be used in a clinical environment by medical staff and provides a quick, accurate and informed advice.

Keywords


Expert systems; Acid-base metabolic disorders.

By clicking ‘Accept’, you agree to the use of cookies, and to the Privacy Policy on this website. Read our Privacy and Cookie Policies to find out more.


Appl Med Inform is published since 1995.