by Genevieve B Melton, Simon Parsons, Frances P Morrison, Adam S Rothschild, Marianthi Markatou, George Hripcsak
Abstract:
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.
Reference:
Inter-patient distance metrics using SNOMED CT defining relationships. (Genevieve B Melton, Simon Parsons, Frances P Morrison, Adam S Rothschild, Marianthi Markatou, George Hripcsak), In Journal of biomedical informatics, volume 39, 2006.
Bibtex Entry:
@article{Melton2006,
abstract = {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.},
author = {Melton, Genevieve B and Parsons, Simon and Morrison, Frances P and Rothschild, Adam S and Markatou, Marianthi and Hripcsak, George},
doi = {10.1016/j.jbi.2006.01.004},
issn = {1532-0480},
journal = {Journal of biomedical informatics},
keywords = {Algorithms,Clinical Medicine,Clinical Medicine: classification,Computerized,Computerized: classificat,Controlled,Humans,Information Storage and Retrieval,Medical Records Systems,Models,Natural Language Processing,SML-LIB-BIBLIO,Statistical,Systematized Nomenclature of Medicine,Systems Integration,Terminology as Topic,Theoretical,Unified Medical Language System,Vocabulary,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
month = dec,
number = {6},
pages = {697--705},
pmid = {16554186},
title = {{Inter-patient distance metrics using SNOMED CT defining relationships.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/16554186},
volume = {39},
year = {2006}
}