Classification, ontology, and precision medicine

Melissa Haendel, Christopher G. Chute, Peter N. Robinson

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

A goal of precision medicine1 is to stratify patients in order to improve diagnosis and medical treatment. Translational investigators are bringing to bear ever greater amounts of heterogeneous clinical data and scientific information to create classification strategies that enable the matching of intervention to underlying mechanisms of disease in subgroups of patients. Ontologies are systematic representations of knowledge that can be used to integrate and analyze large amounts of heterogeneous data, allowing precise classification of a patient. In this review, we describe ontologies and their use in computational reasoning to support precise classification of patients for diagnosis, care management, and translational research.

Original languageEnglish (US)
Pages (from-to)1452-1462
Number of pages11
JournalNew England Journal of Medicine
Volume379
Issue number15
DOIs
StatePublished - Oct 11 2018

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Precision Medicine
Patient Care Management
Translational Medical Research
Research Personnel
Therapeutics

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Classification, ontology, and precision medicine. / Haendel, Melissa; Chute, Christopher G.; Robinson, Peter N.

In: New England Journal of Medicine, Vol. 379, No. 15, 11.10.2018, p. 1452-1462.

Research output: Contribution to journalArticle

Haendel, Melissa ; Chute, Christopher G. ; Robinson, Peter N. / Classification, ontology, and precision medicine. In: New England Journal of Medicine. 2018 ; Vol. 379, No. 15. pp. 1452-1462.
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