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Machine learning in laboratory medicine: Waiting for the flood?

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
1.1.3. Articolo in Rivista - Editorial, Comment, Reply
Elenco autori:
Cabitza, Federico; Banfi, Giuseppe
Autori di Ateneo:
BANFI GIUSEPPE
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/82578
Pubblicato in:
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
Journal
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http://www.reference-global.com/toc/cclm/current
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