DGPort: a web portal for digital government
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
DGPort: a web portal for digital government
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Resource Discovery in a European Spatial Data Infrastructure
IEEE Transactions on Knowledge and Data Engineering
MedicoPort: A medical search engine for all
Computer Methods and Programs in Biomedicine
Confidence levels for medical diagnosis on distributed medical knowledge nodes
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Ontology-enhanced automatic chief complaint classification for syndromic surveillance
Journal of Biomedical Informatics
International Journal of Web and Grid Services
Extended probabilistic HAL with close temporal association for psychiatric query document retrieval
ACM Transactions on Information Systems (TOIS)
A hidden Markov model-based text classification of medical documents
Journal of Information Science
Context-based online medical terminology navigation
Expert Systems with Applications: An International Journal
Medical query generation by term-category correlation
Information Processing and Management: an International Journal
A Unified Architecture for Biomedical Search Engines Based on Semantic Web Technologies
Journal of Medical Systems
Enhancing electronic medical record retrieval through semantic query expansion
Information Systems and e-Business Management
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This paper describes the development and testing of the Medical Concept Mapper, a tool designed to facilitate access to online medical information sources by providing users with appropriate medical search terms for their personal queries. Our system is valuable for patients whose knowledge of medical vocabularies is inadequate to find the desired information, and for medical experts who search for information outside their field of expertise. The Medical Concept Mapper maps synonyms and semantically related concepts to a user's query. The system is unique because it integrates our natural language processing tool, i.e., the Arizona (AZ) Noun Phraser, with human-created ontologies, the Unified Medical Language System (UMLS) and WordNet, and our computer generated Concept Space, into one system. Our unique contribution results from combining the UMLS Semantic Net with Concept Space in our deep semantic parsing (DSP) algorithm. This algorithm establishes a medical query con-text based on the UMLS Semantic Net, which allows Concept Space terms to be filtered so as to isolate related terms relevant to the query. We performed two user studies in which Medical Concept Mapper terms were compared against human experts' terms. We conclude that the AZ Noun Phraser is well suited to extract medical phrases from user queries, that WordNet is not well suited to provide strictly medical synonyms, that the UMLS Metathesaurus is well suited to provide medical synonyms, and that Concept Space is well suited to provide related medical terms, especially when these terms are limited by our DSP algorithm.