경희대학교 산학협력단;UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
发明人:
LEE, Sung Young,이승룡,TAQDIR, Ali,탁디르알리
申请号：
KRKR2017/012524
公开号：
WO2018/084682A1
申请日:
2017.11.07
申请国别(地区):
KR
年份:
2018
代理人:
摘要：
The present invention relates to a method for mapping heterogeneous medical data, the method comprising the steps of: generating domain clinic model ontology that defines a concept of arbitrary medical data collected from individual clinics and a relationship between the medical data； if SNOMED CT ontology that defines the concept and relationship of the domain clinic model ontology and standardized medical terms is loaded and the concept included in the domain clinic model ontology and/or the SNOMED CT ontology has a degree of similarity equal to or greater than a preset threshold value, determining that the concept has been mapped and generating a DCM-SNOMED mapping file for the mapping information； if vMR ontology describing the concept and relationship of data models defined by the SNOMED CT ontology and Health Level 7 standard is loaded and the concept included in the SNOMED CT ontology and/or the vMR ontology has a degree of similarity equal to or greater than a preset threshold value, determining that the concept has been mapped and generating a vMR-SNOMED mapping file for the mapping information； and generating a DCM-vMR mapping file for mapping information between the arbitrary medical data collected from the individual clinics and the concept included in the vMR ontology by using the DCM-SNOMED mapping file and the MR-SNOMED mapping file.La présente invention concerne un procédé de mise en correspondance de données médicales hétérogènes, le procédé comprenant les étapes consistant à : générer une ontologie de modèle clinique de domaine qui définit un concept de données médicales arbitraires collectées à partir de cliniques individuelles et une relation entre les données médicales ； si une ontologie SNOMED CT qui définit le concept et la relation de l'ontologie de modèle clinique de domaine et des termes médicaux normalisés est chargée et le concept inclus dans l'ontologie de modèle clinique de domaine et/ou l'ontologie SNOMED CT a un degré de similitude ég
