| Literature DB >> 29055936 |
Federico Cabitza1,2, Giuseppe Banfi2.
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.Keywords: artificial intelligence; diagnostic aids; literature review; machine learning
Mesh:
Year: 2018 PMID: 29055936 DOI: 10.1515/cclm-2017-0287
Source DB: PubMed Journal: Clin Chem Lab Med ISSN: 1434-6621 Impact factor: 3.694