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Volumn 1031, Issue , 2017, Pages 165-179

Preparing data at the source to foster interoperability across rare disease resources

Author keywords

Data integration; FAIR approach; Linkable data; Ontologies; Semantic model; Standardization

Indexed keywords

ANALYTICAL ERROR; BIOLOGICAL ONTOLOGY; CONSENSUS; DATA PROCESSING; DISEASE REGISTRY; HEALTH CARE PLANNING; HEALTH CARE QUALITY; HUMAN; INTEGRATION; KNOWLEDGE; MACHINE LEARNING; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; RARE DISEASE; WORKFLOW; DATA INTEROPERABILITY; FACTUAL DATABASE; MEASUREMENT ACCURACY; MEDICAL RESEARCH; METHODOLOGY; PRACTICE GUIDELINE; PROCEDURES; QUALITY CONTROL; REGISTER; STANDARDS;

EID: 85037649279     PISSN: 00652598     EISSN: 22148019     Source Type: Book Series    
DOI: 10.1007/978-3-319-67144-4_9     Document Type: Chapter
Times cited : (12)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.