Development of a machine learning-based model for the prediction and progression of diabetic kidney disease: A single centred retrospective study.

Journal: International journal of medical informatics
PMID:

Abstract

BACKGROUND: Diabetic kidney disease (DKD) is a diabetic microvascular complication often characterized by an unpredictable progression. Hence, early detection and recognition of patients vulnerable to progression is crucial.

Authors

  • Sandhya Nayak
    Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Udupi District, Karnataka 576 104, India. Electronic address: sandhya.nyk98@gmail.com.
  • Ashwini Amin
    Department of Electronics & Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India.
  • Swetha R Reghunath
    Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Udupi District, Karnataka 576 104, India. Electronic address: swetha.reghunath@learner.manipal.edu.
  • Girish Thunga
    Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, India. Electronic address: girish.thunga@manipal.edu.
  • Dinesh Acharya U
    Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academcy of Higher Education, Manipal, India. Electronic address: dinesh.acharya@manipal.edu.
  • K N Shivashankara
    Department of General Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Udupi District, Karnataka 576 104, India. Electronic address: shi.sha@manipal.edu.
  • Ravindra Prabhu Attur
    Department of Nephrology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Udupi District, Karnataka 576 104, India. Electronic address: ravindra.prabhu@manipal.edu.
  • Leelavathi D Acharya
    Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Udupi District, Karnataka 576 104, India. Electronic address: leela.da@manipal.edu.