Trusting AI made decisions in healthcare by making them explainable.

Journal: Science progress
Published Date: Jan 1, 2024

Abstract

OBJECTIVES: In solving the trust issues surrounding machine learning algorithms whose reasoning cannot be understood, advancements can be made toward the integration of machine learning algorithms into mHealth applications. The aim of this paper is to provide a transparency layer to black-box machine learning algorithms and empower mHealth applications to maximize their efficiency.

Authors

  • Bojan Žlahtič
    Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia.
  • Jernej Završnik
    Community Heathcare Center dr. Adolf Drolc Maribor, Maribor, Slovenia.
  • Peter Kokol
    Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia.
  • Helena Blažun Vošner
    Community Heathcare Center dr. Adolf Drolc Maribor, Maribor, Slovenia.
  • Nina Sobotkiewicz
    Community Healthcare Center Dr Adolf Drolc Maribor, Maribor, Slovenia.
  • Barbara Antolinc Schaubach
    Community Healthcare Center Dr Adolf Drolc Maribor, Maribor, Slovenia.
  • Simona Kirbiš
    Community Healthcare Center Dr Adolf Drolc Maribor, Maribor, Slovenia.

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