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Clustering diagnoses: a method of interpreting morbidity data.

作者信息

Hodgkin P, Metcalfe D

出版信息

Fam Pract. 1984 Dec;1(4):228-42. doi: 10.1093/fampra/1.4.228.

DOI:10.1093/fampra/1.4.228
PMID:6530087
Abstract

Detailed classification of morbidity data provides problems in large-scale surveys in general practice: a balance between precise diagnosis and realistic uncertainty must be maintained, and it can be hard to detect the overall pattern when a large number of rubrics is involved. This paper reports the development of a system of clustered diagnoses in which similar diagnoses are linked together in homogeneous clusters. The system is based on the RCGP codes and is compatible with ICHPPC-2. The aim was not to produce another classification of morbidity but to use the system to apply to data already coded using a specific primary code.

摘要

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Clustering diagnoses: a method of interpreting morbidity data.
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