Use abstracted patient-specific features to assist an information-theoretic measurement to assess similarity between medical cases.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 18487093.
- Also identified by DOI 10.1016/j.jbi.2008.03.006 and PMC identifier 2584163.
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Abstract
Inter-case similarity metrics can potentially help find similar cases from a case base for evidence-based practice. While several methods to measure similarity between cases have been proposed, developing an effective means for measuring patient case similarity remains a challenging problem. We were interested in examining how abstracting could potentially assist computing case similarity. In this study, abstracted patient-specific features from medical records were used to improve an existing information-theoretic measurement. The developed metric, using a combination of abstracted disease, finding, procedure and medication features, achieved a correlation between 0.6012 and 0.6940 to experts.
Medical subject headings
- Abstracting and Indexing
- Information Theory