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Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine

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...

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Detalles Bibliográficos
Autores principales: Ronzio, Luca, Cabitza, Federico, Barbaro, Alessandro, Banfi, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926482/
https://www.ncbi.nlm.nih.gov/pubmed/33671623
http://dx.doi.org/10.3390/diagnostics11020372
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author Ronzio, Luca
Cabitza, Federico
Barbaro, Alessandro
Banfi, Giuseppe
author_facet Ronzio, Luca
Cabitza, Federico
Barbaro, Alessandro
Banfi, Giuseppe
author_sort Ronzio, Luca
collection PubMed
description 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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spelling pubmed-79264822021-03-04 Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine Ronzio, Luca Cabitza, Federico Barbaro, Alessandro Banfi, Giuseppe Diagnostics (Basel) Review 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. MDPI 2021-02-22 /pmc/articles/PMC7926482/ /pubmed/33671623 http://dx.doi.org/10.3390/diagnostics11020372 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ronzio, Luca
Cabitza, Federico
Barbaro, Alessandro
Banfi, Giuseppe
Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
title Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
title_full Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
title_fullStr Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
title_full_unstemmed Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
title_short Has the Flood Entered the Basement? A Systematic Literature Review about Machine Learning in Laboratory Medicine
title_sort has the flood entered the basement? a systematic literature review about machine learning in laboratory medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926482/
https://www.ncbi.nlm.nih.gov/pubmed/33671623
http://dx.doi.org/10.3390/diagnostics11020372
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