Classification, Ontology, and Precision Medicine

Data-organizing methods have been in place for centuries, but very large data sets have come into being relatively recently. The authors describe terminologies, ontologies, and the changes needed to permit analyses of “big data” that might better serve medical decision making.

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Bibliographische Detailangaben
Veröffentlicht in:	The New England journal of medicine 2018-10, Vol.379 (15), p.1452-1462
Hauptverfasser:	Haendel, Melissa A, Chute, Christopher G, Robinson, Peter N
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Data processing Datasets as Topic Decision making Disease Disease - classification Electronic Health Records Family medical history Genomes Heart attacks Humans Information retrieval Laboratories Ontology Patients Precision Medicine Privacy Rare Diseases - classification Semantics Vocabulary, Controlled
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Beschreibung
Zusammenfassung:	Data-organizing methods have been in place for centuries, but very large data sets have come into being relatively recently. The authors describe terminologies, ontologies, and the changes needed to permit analyses of “big data” that might better serve medical decision making.
ISSN:	0028-4793 1533-4406
DOI:	10.1056/NEJMra1615014