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

Journal: PloS one
PMID: 39255296

Abstract

BACKGROUND: To address the numerous unmeet clinical needs, in recent years several Machine Learning models applied to medical images and clinical data have been introduced and developed. Even when they achieve encouraging results, they lack evolutionary progression, thus perpetuating their status as autonomous entities. We postulated that different algorithms which have been proposed in the literature to address the same diagnostic task, can be aggregated to enhance classification performance. We suggested a proof of concept to define an ensemble approach useful for integrating different algorithms proposed to solve the same clinical task.

Authors

  • Annarita Fanizzi
    Laboratorio di Biostatistica e Bioinformatica, Fisica Sanitaria, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Bari, Italy.
  • Federico Fadda
    Struttura Semplice Dipartimentale Fisica Sanitaria, I.R.C.C.S. Istituto Tumori 'Giovanni Paolo II', Viale Orazio Flacco 65, 70124, Bari, Italy.
  • Michele Maddalo
    Servizio di Fisica Sanitaria, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy.
  • Sara Saponaro
    Fisica Sanitaria, Azienda Usl Toscana Nord Ovest, Lucca, Italy.
  • Leda Lorenzon
    Medical Physics Department, Bolzano Hospital, 39100 Bolzano, Italy.
  • Leonardo Ubaldi
    Dip. Scienze Biomediche Sperimentali e Cliniche "Mario Serio", Università degli Studi di Firenze,Viale Morgagni, Firenze.
  • Nicola Lambri
    IRCCS Humanitas Research Hospital, Medical Physics Unit of Radiotherapy and Radiosurgery Department, via Manzoni, Rozzano, Milan, Italy.
  • Alessia Giuliano
    Medical Physics Department, San Luca Hospital, 55100 Lucca, Italy.
  • Emiliano Loi
    SC Fisica Sanitaria, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
  • Michele Signoriello
    Fisica Sanitaria, Azienda sanitaria universitaria Giuliano Isontina, Trieste, Italy.
  • Marco Branchini
    Medical Physics Department, ASST Valtellina e Alto Lario, Via Stelvio 25, 23100 Sondrio, Italy.
  • Gina Belmonte
    Medical Physics Department, San Luca Hospital, 55100 Lucca, Italy.
  • Marco Giannelli
    Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", via Roma 67, 56126 Pisa, Italy.
  • Pietro Mancosu
    Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Milan-Rozzano, Italy.
  • Cinzia Talamonti
    Department of Biomedical Experimental Clinical Science "M. Serio", University of Florence, Florence, Italy.
  • Mauro Iori
    Medical Physics, Azienda USL-IRCCS di Reggio Emilia, Italy. Electronic address: mauro.iori@ausl.re.it.
  • Sabina Tangaro
    Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy. Electronic address: Sonia.Tangaro@ba.infn.it.
  • Michele Avanzo
    Division of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, PN, Italy.
  • Raffaella Massafra
    Laboratorio di Biostatistica e Bioinformatica, Fisica Sanitaria, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Bari, Italy.

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