Journal
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
Volume 56, Issue 4, Pages 516-524Publisher
WALTER DE GRUYTER GMBH
DOI: 10.1515/cclm-2017-0287
Keywords
artificial intelligence; diagnostic aids; literature review; machine learning
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This review focuses on machine learning and on how methods and models combining data analytics and artificial intelligence have been applied to laboratory medicine so far. Although still in its infancy, the potential for applying machine learning to laboratory data for both diagnostic and prognostic purposes deserves more attention by the readership of this journal, as well as by physician-scientists who will want to take advantage of this new computer-based support in pathology and laboratory medicine.
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