Classification, Ontology, and Precision Medicine.

Citation data:

The New England journal of medicine, ISSN: 1533-4406, Vol: 379, Issue: 15, Page: 1452-1462

Publication Year:
2018
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Repository URL:
https://mouseion.jax.org/stfb2018/201; https://ohsu.pure.elsevier.com/en/publications/339d32e5-d024-4246-8d89-90a37c424c03
PMID:
30304648
DOI:
10.1056/nejmra1615014; 10.3410/f.734199035.793552130; 10.3410/f.734199035.793552161
Author(s):
Elizabeth G. Phimister; Melissa A. Haendel; Christopher G. Chute; Peter N. Robinson
Publisher(s):
Faculty of 1000, Ltd.; New England Journal of Medicine (NEJM/MMS); Massachusetts Medical Society.
Tags:
Medicine; Medicine(all); Life Sciences; Medicine and Health Sciences
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review description
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.