Artificial neural network for the prediction model of glomerular filtration rate to estimate the normal or abnormal stages of kidney using gamma camera.

Journal: Annals of nuclear medicine
Published Date: Dec 1, 2021

Abstract

OBJECTIVE: Chronic kidney disease (CKD) is evaluated based on glomerular filtration rate (GFR) using a gamma camera in the nuclear medicine center or hospital in a routine procedure, but the gamma camera does not provide the accurate stages of the diseases. Therefore, this research aimed to find out the normal or abnormal stages of CKD based on the value of GFR using an artificial neural network (ANN).

Authors

  • Alamgir Hossain
    Department of Physics, University of Rajshahi, Rajshahi, 6205, Bangladesh. hossain447a@gmail.com.
  • Shariful Islam Chowdhury
    Institute of Nuclear Medicine and Allied Sciences, Bangladesh Atomic Energy Commission, Rajshahi, 6000, Bangladesh.
  • Shupti Sarker
    Department of Physics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
  • Mostofa Shamim Ahsan
    Institute of Nuclear Medicine and Allied Sciences, Bangladesh Atomic Energy Commission, Rajshahi, 6000, Bangladesh.

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