Evaluation of a new classification system for anemias using Consult Learning System.
Since the advent of electronic particle counting, anemias have customarily been classified by evaluating cell size (MCV) and hemoglobin content (MCH). Recently a new parameter estimating red cell size heterogeneity (the 'red cell distribution width' or 'RDW') has been introduced. We have evaluated a proposed classification of anemias based upon this new parameter in a large group of hospitalized patients utilizing an expert system based upon statistical pattern recognition and compared our results to other studies. The potential advantages of using such a system over currently existing uni-dimensional classification systems to evaluate clinical problems are discussed.
D000740:Anemia / Q000097:blood / Q000145:classification* / Q000175:diagnosis; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted; D004909:Erythrocyte Indices; D006801:Humans; D007256:Information Systems