Selected article for: "address aim and machine learning"
Author: Ronzio, Luca; Cabitza, Federico; Barbaro, Alessandro; Banfi, Giuseppe
Title: Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
  • Cord-id: o9rxomhg
  • Document date: 2021_2_22
    • ID: o9rxomhg
    Snippet: 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
    Document: 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.

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