Fuzzy logic-based clinical decision support system for the evaluation of renal function in post-Transplant Patients.

Journal: Journal of evaluation in clinical practice
Published Date: Nov 12, 2019

Abstract

OBJECTIVES: In the context of the gradual development of artificial intelligence in health care, the clinical decision support systems (CDSS) play an increasing crucial role in improving the quality of the therapeutic and diagnostic efficiency in health care. The fuzzy logic (FL) provides an effective means for dealing with uncertainties in the health decision-making process; therefore, FL-based CDSS becomes a very powerful tool for data and knowledge management, being able to think like an expert clinician. This work proposes an FL-based CDSS for the evaluation of renal function in posttransplant patients.

Authors

  • Giovanni Improta
    Department of Public Health, University of Naples "Federico II", Naples, Italy.
  • Valeria Mazzella
    Department of Electronic Engineering and Information Technology, Faculty of Engineering, University of Naples Federico II, Naples, Italy.
  • Donatella Vecchione
    Department of Electronic Engineering and Information Technology, Faculty of Engineering, University of Naples Federico II, Naples, Italy.
  • Stefania Santini
    Società Italiana di Medicina Estetica, Rome, Italy.
  • Maria Triassi
    Department of Public Health of the University Hospital, University of Naples Federico II, Naples, Italy.

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