Machine learning in laboratory medicine: waiting for the flood?-Reference-Cited by-同舟云学术

Machine learning in laboratory medicine: waiting for the flood?

Published:2017-10-23 Issue:4 Volume:56 Page:516-524
ISSN:1437-4331
Container-title:Clinical Chemistry and Laboratory Medicine (CCLM)
language:en
Short-container-title:

Author:

Cabitza Federico¹²,Banfi Giuseppe²

Affiliation:

1. Dipartimento di Informatica, Sistemistica e Comunicazione , University of Milano-Bicocca , Edificio U14, Viale Sarca 336 , 20126 Milan , Italy , Phone: +390264487888

2. IRCCS Istituto Ortopedico Galeazzi , Milan , Italy

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry, medical,Clinical Biochemistry,General Medicine

Link

https://www.degruyter.com/document/doi/10.1515/cclm-2017-0287/pdf

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