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A Giant with Feet of Clay: On the Validity of the Data that Feed Machine Learning in Medicine

In: Organizing for the Digital World

Author

Listed:
  • Federico Cabitza

    (Università degli Studi di Milano-Bicocca
    IRCCS Istituto Ortopedico Galeazzi)

  • Davide Ciucci

    (Università degli Studi di Milano-Bicocca)

  • Raffaele Rasoini

    (IRCCS Don Gnocchi Foundation)

Abstract

This paper considers the use of machine learning in medicine by focusing on the main problem that it has been aimed at solving or at least minimizing: uncertainty. However, we point out how uncertainty is so ingrained in medicine that it biases also the representation of clinical phenomena, that is the very input of this class of computational models, thus undermining the clinical significance of their output. Recognizing this can motivate researchers to pursue different ways to assess the value of these decision aids, as well as alternative techniques that do not “sweep uncertainty under the rug” within an objectivist fiction (which doctors can come up by trusting).

Suggested Citation

  • Federico Cabitza & Davide Ciucci & Raffaele Rasoini, 2019. "A Giant with Feet of Clay: On the Validity of the Data that Feed Machine Learning in Medicine," Lecture Notes in Information Systems and Organization, in: Federico Cabitza & Carlo Batini & Massimo Magni (ed.), Organizing for the Digital World, pages 121-136, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-90503-7_10
    DOI: 10.1007/978-3-319-90503-7_10
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