| Literature DB >> 33671623 |
Luca Ronzio1, Federico Cabitza1, Alessandro Barbaro2, Giuseppe Banfi2,3.
Abstract
This article presents a systematic literature review that expands and updates a previous review on the application of machine learning to laboratory medicine. We used Scopus and PubMed to collect, select and analyse the papers published from 2017 to the present in order to highlight the main studies that have applied machine learning techniques to haematochemical parameters and to review their diagnostic and prognostic performance. In doing so, we aim to address the question we asked three years ago about the potential of these techniques in laboratory medicine and the need to leverage a tool that was still under-utilised at that time.Entities:
Keywords: deep learning; laboratory medicine; laboratory tests; machine learning
Year: 2021 PMID: 33671623 DOI: 10.3390/diagnostics11020372
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418