Hierarchical distribution analysis for computer-assisted classifications of patient records.
The many existing hierarchical classifications present opportunities for computer-aided classification of medical data. The authors evaluate lexical term mapping followed by hierarchical node activation to determine the semantic locality of diagnoses in the American College of Radiology (ACR) classification. The activated hierarchy exposes conceptual structures behind lexically matched categories and markedly narrows the alternatives for human review. Several distribution analyses are evaluated for narrowing the candidate search space, to reduce ambiguity. The methods were tested on a prototype system, using a set of 78 samples of Mayo radiology diagnoses; their relative effectiveness is illustrated.
Yang
Y M
YM
Section of Medical Information Resources, Mayo Clinic, Rochester, Minnesota 55905.
Chute
C G
CG
D002965:Classification; D003663:Decision Trees; D003933:Diagnosis; D005069:Evaluation Studies as Topic; D006801:Humans; D016347:Medical Records Systems, Computerized / Q000145:classification*; D010336:Pathology; D011871:Radiology; D012660:Semantics; D009626:Terminology as Topic