BH-index: A predictive system based on serum biomarkers and ensemble learning for early colorectal cancer diagnosis in mass screening.

Journal: Computer methods and programs in biomedicine
Published Date: Oct 25, 2021

Abstract

BACKGROUND AND OBJECTIVE: Colorectal cancer is one of the most common malignancies among the general population. Artificial Intelligence methodologies based on serum parameters are in continuous development to obtain less expensive tools for highly sensitive diagnoses. This study proposes a predictive system based on serum biomarkers and ensemble learning to predict colorectal cancer presence and the related TNM stage in patients.

Authors

  • Antonio Battista
    A.O.U. S. Giovanni di Dio e Ruggi d'Aragona, UOC Chir Urg, UOC Laboratorio Analisi, Salerno, Italy.
  • Rosa Alessia Battista
    IRCCS Ospedale San Raffaele, University Vita Salute S. Raffaele, Milan, Italy.
  • Federica Battista
    IRCCS Foundation Policlinico San Matteo, University of Pavia, Pavia, Italy.
  • Gerardo Iovane
    Department of Computer Science, University of Salerno, Salerno, Italy.
  • Riccardo Emanuele Landi
    Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. Electronic address: riccardoemanuele.landi@mail.polimi.it.

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