To create an algorithm assessing the risk of ovarian cancer in primary care using Generalized Additive Model (GAM) and traditional methods.

Journal: Current medical research and opinion
Published Date: Jul 21, 2025

Abstract

OBJECTIVES: We aimed to evaluate models designed to support the exploration and early detection of potential Ovarian Cancer (OC) using either Machine Learning (ML) techniques or traditional methodologies, using primary care data. This evaluation aimed to facilitate appropriate and timely referrals to specialists.

Authors

  • Francesco Lapi
    Health Search, Italian College of General Practitioners and Primary Care, Florence, Italy.
  • Ettore Marconi
    Health Search, Italian College of General Practitioners and Primary Care, Florence, Italy.
  • Lorenzo Nuti
    Genomedics SRL, Florence, Italy.
  • Iacopo Cricelli
    Genomedics SRL, Florence, Italy.
  • Marco Gorini
    AstraZeneca Italy, MIND, Milan, Italy.
  • Stefania Marcoli
    AstraZeneca Italy, MIND, Milan, Italy.
  • Alessandro Rossi
    Department of Information Engineering and Mathematics, University of Siena, Italy. Electronic address: rossi111@unisi.it.
  • Claudio Cricelli
    Italian College of General Practitioners and Primary Care, Florence, Italy.

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