Hierarchical Distribution Analysis for Computer-assisted Classifications of Patient Records

Yiming Yang and Christopher G. Chute

Medical Decision Making, 1991, vol. 11, issue 4_suppl, S94-S98

Abstract: 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.

Keywords: concepts; hierarchy activation; lexical mapping; heuristics; human-machine interaction (search for similar items in EconPapers)
Date: 1991
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:11:y:1991:i:4_suppl:p:s94-s98

DOI: 10.1177/0272989X9101104s18

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