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Machine learning in laboratory medicine: Waiting for the flood?

Academic Article
Publication Date:
2018
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.
Iris type:
1.1.3. Articolo in Rivista - Editorial, Comment, Reply
List of contributors:
Cabitza, Federico; Banfi, Giuseppe
Authors of the University:
BANFI GIUSEPPE
Handle:
https://iris.unisr.it/handle/20.500.11768/82578
Published in:
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
Journal
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URL

http://www.reference-global.com/toc/cclm/current
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