A Computer-Aided Decision Support in Acid-Base Metabolic Disorders
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.
Expert systems; Acid-base metabolic disorders.
Appl Med Inform is published since 1995.