Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study

Our proposal represents an innovative approach useful for integrating different algorithms that populate the literature and which lays the foundations for future evaluations in broader application scenarios.

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Institutions

Publication Details

Journal
PLoS ONE
Published
2024-09-10
DOI
https://doi.org/10.1371/journal.pone.0303217
Citations
6
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.43

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article

Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study

Gina Belmonte, Federico Fadda, Leda Lorenzon, Annarita Fanizzi et al.
6 citations
PLoS ONE
Radiomics and Machine Learning in Medical Imaging
2.43
article

Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study

Gina Belmonte, Federico Fadda, Leda Lorenzon, Annarita Fanizzi, Michele Avanzo, C. Talamonti, Sabina Tangaro, Emiliano Loi, M. Maddalo, Sara Saponaro, Nicola Lambri, Pietro Mancosu, M. Branchini, Alessia Giuliano, Leonardo Ubaldi, Mauro Iori, Raffaella Massafra, Marco Giannelli, Michele Signoriello
article en
6 citations

Abstract

Our proposal represents an innovative approach useful for integrating different algorithms that populate the literature and which lays the foundations for future evaluations in broader application scenarios.

PLoS ONEVol. 19(9)
Humanitas University (IT), Azienda Sanitaria Unità Locale di Reggio Emilia (IT), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IT), Azienda Sanitaria di Firenze (IT), Centro di Riferimento Oncologico (IT), Istituto Tumori Bari (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Firenze (IT), Ospedale di Parma (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Azienda Socio Sanitaria Territoriale della Valtellina e Alto Lario (IT), Azienda Usl Toscana Centro (IT), IRCCS Humanitas Research Hospital (IT), Azienda Sanitaria Universitaria Integrata di Trieste (IT), Azienda Ospedaliera Universitaria Pisana (IT), University of Florence (IT), University of Bari Aldo Moro (IT)
Ministero della Salute
Reduced inequalities
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.43
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