-
- Federico Cabitza and Giuseppe Banfi.
- Dipartimento di Informatica, Sistemistica e Comunicazione, University of Milano-Bicocca, Edificio U14, Viale Sarca 336, 20126 Milan, Italy, Phone: +390264487888.
- Clin Chem Lab Med. 2018 Mar 28; 56 (4): 516-524.
AbstractThis 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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