An Effective Approach for Kidney Diseases detection using Transfer Learning

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An essential issue in public health, chronic kidney disease is characterized by a high prevalence, morbidity, and mortality rate. India is home to 17% of the world's population, but having less than 3% of the total land mass. Results have been less than ideal due to a combination of factors, including a low gross domestic product, a large percentage of patients living below the poverty line, and inadequate funding for health care. In addition, despite ongoing concerns about communicable diseases, high rates of child and maternal mortality, and a competition for resources, chronic kidney disease (CKD) and other non-communicable diseases have frequently been disregarded. High prevalence of chronic kidney disease in India is due to multiple factors. According to data from the United Nations Children's Emergency Fund, 28% of infants weigh less than 2.5 kg when they are born. Reduced estimated glomerular filtration rate and reduced kidney volume at delivery may result from nutrients deficiency during pregnancy, such as hypovitaminosis A.A GFR of 60 or above is considered normal. Consult your physician regarding the reevaluation of your GFR(Glomerular Filtration Rate).GFRs below 60 may signify kidney pathology. Inquire with your physician on the preservation of kidney health.A GFR of 15 or lower indicates renal failure. Dialysis or kidney transplants are necessary for the majority falling below this threshold. Consanguinity and genetic inbreeding enhance kidney and urinary tract congenital abnormalities and obstructive or reflux nephropathy risk. Poverty, poor sanitation, pollution, water contamination, overcrowding, and known and unknown nephrotoxins (including heavy metals and plant poisons in indigenous treatments) can cause glomerular and interstitial kidney disorders. The rising prevalence of hypertension and diabetes compounds these exposures. India is anticipated to have the most diabetics by 2030.