Computer-aided diagnosis in jaundice: comparison of knowledge-based and probabilistic approaches.
The study reported in this paper is aimed at evaluating the effectiveness of a knowledge-based expert system (ICTERUS) in diagnosing jaundiced patients, compared with a statistical system based on probabilistic concepts (TRIAL). The performances of both systems have been evaluated using the same set of data in the same number of patients. Both systems are spin-off products of the European project Euricterus, an EC-COMAC-BME Project designed to document the occurrence and diagnostic value of clinical findings in the clinical presentation of jaundice in Europe, and have been developed as decision-making tools for the identification of the cause of jaundice based only on clinical information and routine investigations. Two groups of jaundiced patients were studied, including 500 (retrospective sample) and 100 (prospective sample) subjects, respectively. All patients were independently submitted to both decision-support tools. The input of both systems was the data set agreed within the Euricterus Project. The performances of both systems were evaluated with respect to the reference diagnoses provided by experts on the basis of the full clinical documentation. Results indicate that both systems are clinically reliable, although the diagnostic prediction provided by the knowledge-based approach is slightly better.
Molino
G
G
Centro di Informatica Medica, Azienda Ospedaliera S. Giovanni Battista, Torino, Italy.
Molino
F
F
Furia
D
D
Bar
F
F
Battista
S
S
Cappello
N
N
D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D007558:Italy; D007565:Jaundice / Q000209:etiology*; D015233:Models, Statistical; D011446:Prospective Studies; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012984:Software