|Title||Modeling Techniques for Medical Diagnosis: II. Differential Diagnosis of Neonatal Hepatitis and Biliary Atresia|
|Author(s)||Charles E. Mize; William M. Lively; Stephen A. Szygenda|
|Source||Computers and Biomedical Research, Vol. 9, Pages 239-245|
|Abstract||Heuristic liver modeling and learning program techniques have been utilized to develop a method for augmenting presurgical guidance in anatomic biliary tree obstruction and hepatitis in neonates. A liver model programmed for evaluation of clinical data leads to one of four categories: (1) hepatitis, (2) atresia, (3) normal, (4) no diagnosis possible. |
Using a simple set of data (serum glutamate-oxalacetate transaminase and direct Van den Bergh bilirubin, a defined disease duration, and Rose Bengal fecal excretion), 36 test patients whose diagnoses were unknown were tested. Comparison with actual subsequent diagnoses in these patients confirmed the method as a reliable aid in medical diagnosis and management decisions.