Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review.

Journal: Journal of diabetes and metabolic disorders
Published Date: Dec 5, 2023

Abstract

PURPOSE: Diabetes is a major public health challenge with widespread prevalence, often leading to complications such as Diabetic Nephropathy (DN)-a chronic condition that progressively impairs kidney function. In this context, it is important to evaluate if Machine learning models can exploit the inherent temporal factor in clinical data to predict the risk of developing DN faster and more accurately than current clinical models.

Authors

  • F Mesquita
    Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes - Quinta da Nora, 3030-199 Coimbra, Portugal.
  • J Bernardino
    Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes - Quinta da Nora, 3030-199 Coimbra, Portugal.
  • J Henriques
    Center for Informatics and Systems of University of Coimbra, University of Coimbra, Pólo II, 3030-290 Coimbra, Portugal.
  • J F Raposo
    Education and Research Center, APDP Diabetes Portugal, Rua Do Salitre 118-120, 1250-203 Lisbon, Portugal.
  • R T Ribeiro
    Education and Research Center, APDP Diabetes Portugal, Rua Do Salitre 118-120, 1250-203 Lisbon, Portugal.
  • S Paredes
    Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes - Quinta da Nora, 3030-199 Coimbra, Portugal.

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