Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Nonparametric methods for quantitative analysis (3rd ed.)
Nonparametric methods for quantitative analysis (3rd ed.)
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Towards the development of a conceptual distance metric for the UMLS
Journal of Biomedical Informatics
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Self-organizing map for cluster analysis of a breast cancer database
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
Ontology - supported machine learning and decision support in biomedicine
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
Automated identification of synonyms in biomedical acronym sense inventories
Louhi '10 Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
An ontology-based measure to compute semantic similarity in biomedicine
Journal of Biomedical Informatics
Towards a framework for developing semantic relatedness reference standards
Journal of Biomedical Informatics
A SNOMED supported ontological vector model for subclinical disorder detection using EHR similarity
Engineering Applications of Artificial Intelligence
Automated identification of relevant new information in clinical narrative
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Journal of Biomedical Informatics
ONCO-i2b2: improve patients selection through case-based information retrieval techniques
DILS'12 Proceedings of the 8th international conference on Data Integration in the Life Sciences
Case-based reasoning in comparative effectiveness research
IBM Journal of Research and Development
An ontology-based similarity measure for biomedical data - Application to radiology reports
Journal of Biomedical Informatics
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Background: Patient-based similarity metrics are important case-based reasoning tools which may assist with research and patient care applications. Ontology and information content principles may be potentially helpful tools for similarity metric development. Methods: Patient cases from 1989 through 2003 from the Columbia University Medical Center data repository were converted to SNOMED CT concepts. Five metrics were implemented: (1) percent disagreement with data as an unstructured ''bag of findings,'' (2) average links between concepts, (3) links weighted by information content with descendants, (4) links weighted by information content with term prevalence, and (5) path distance using descendants weighted by information content with descendants. Three physicians served as gold standard for 30 cases. Results: Expert inter-rater reliability was 0.91, with rank correlations between 0.61 and 0.81, representing upper-bound performance. Expert performance compared to metrics resulted in correlations of 0.27, 0.29, 0.30, 0.30, and 0.30, respectively. Using SNOMED axis Clinical Findings alone increased correlation to 0.37. Conclusion: Ontology principles and information content provide useful information for similarity metrics but currently fall short of expert performance.