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1.
World Science and Technology-Modernization of Traditional Chinese Medicine ; (12): 843-847, 2013.
Article in Chinese | WPRIM | ID: wpr-438596

ABSTRACT

The establishment of regulated and accurate clinical terms of traditional Chinese medicine (TCM) liver failure jaundice is an important foundation and guarantee of the construction of TCM clinical practice and scientif-ic research unified information platform of liver failure jaundice . This study combined current clinical and re-search needs to determine the term coverage, improved the terminology classification framework, collected through multiple channels of liver failure jaundice related terms, followed the naming of scientific and technical terms. The connotation was based on the logic of concept definition requirements and technological terminology defined rules. The expert consultation and deliberation were combined to clarify logical relationship between terms. Con-cept of term system was established and the liver failure jaundice term set was formed .

2.
Journal of Korean Society of Medical Informatics ; : 21-29, 2006.
Article in Korean | WPRIM | ID: wpr-19233

ABSTRACT

OBJECTIVE: The medical records of a patient with chronic obstructive pulmonary disease(COPD) were analyzed to extract medical concepts and their relationships in order to construct a basic medical ontology. METHODS: The medical records included the admission note, vital signs record, doctors' order sheets, progress notes, emergency notes, discharge summary, surgical record, and anesthesia record. RESULTS: A total of 396 concepts, 16 relationships, and 460 connections were created. Fourteen top-level concepts, such as body, sign, and procedure, were found. The most common relationship was 'isA' and the second was 'isPartOf'. All the relationships between the concepts were displayed using the graphic tool GraphViz. CONCLUSION: A pilot ontology on COPD was constructed through a medical record analysis. The asynchronous cooperation using a web interface for the ontology construction was helpful.


Subject(s)
Humans , Anesthesia , Emergencies , Medical Records , Pulmonary Disease, Chronic Obstructive , Vital Signs
3.
Journal of Korean Society of Medical Informatics ; : 1-10, 2001.
Article in Korean | WPRIM | ID: wpr-222456

ABSTRACT

The UMLS is a long-term NLM research and development effort designed to facilitate the retrieval and integration of information from multiple machine-readable biomedical information sources. It is one of the most comprehensive medical terminology systems. The UMLS is to make available to develop systems such as information retrieval, decision-making support system, natural language processing, and voice recognition in medical fields because it can be easily integrated with other systems or databases. It is now support about 15 languages like French, German, Finnish, and Spanish. The goal of this paper is to estimate the availabilities and usefulness that when we will apply the electronic medical records system and then support to Korean medical vocabulary integration. We tested mapping between chief complaint extracted from the discharge records in Seoul National University Hospital and the UMLS sign or symptom concepts term. Among 35% of chief complaint of the SNUH were Conceptually matched with the UMLS Sign or Symptom concepts. Most of 58% these terms were such that diagnosis, operation names, clinical laboratory test not Sign or Symptom terms. The rest terms of 7% were not found in the UMLS or these terms that different application of used concepts. While the UMLS terms are so specific and diverse about patients sign or symptom, we used simplified and usually based on the anatomical region records. Through this study, we exposed underlying of flaws currently in use clinical terms and analyzed the differences of expression patterns in clinical records between the two vocabulary system, we propose the UMLS application of Korean medical vocabulary translation with appropriateness and Interoperability of the UMLS for development the Korean medical technologies.


Subject(s)
Humans , Diagnosis , Electronic Health Records , Information Storage and Retrieval , Medical Records , Natural Language Processing , Seoul , Unified Medical Language System , Vocabulary , Voice
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