Chronic Kidney Disease Stage Prediction in HIV Infected Patient using Deep Learning

The CKD is the worldwide phenomenon with high morbidity and death rates. Chronic renal disease (CKD). Since the early stages of the CKD do not have any symptoms, patients frequently struggle to recognize their condition. HIV-patients are most likely to suffer from critically compromised kidney failure. Early diagnosis of CKD allows patients to get prompt medication to improve the disease's development. The suggested CNN deep learning model for the organization of the CKD phases observed with HIV is presented in this article. The credits of CKD patients are carried out on site. In the Chronic Kidney Disease phase predicted, CNN is 99% accurate with the PCA model. Citation: Dr. Sheshang Degadwala, Dhairya Vyas. "Chronic Kidney Disease Stage Prediction in HIV Infected Patient using Deep Learning." Global Research and Development Journal For Engineering 6.5 (2021): 53 - 60.