Chronic Kidney Disease Prediction by using Naive Bayes

Registration ID: IJNRD_221472

Published ID: IJNRD2405344

DOI: Click Here to Get

Pratik Bothra , Dhanush M. , Hency Raj , Raman Zanwar , Dr. S. Nagaraj

Chronic, Kidney, Disease, naïve bayes, CKD, computational, complexity speed, naïve bayes classifiers, data, machine learning

Chronic kidney disease CKD is a chronic kidney problem that affects the human kidneys and causes it to not work properly or causes complete kidney failure, leads to dialysis or causes other related diseases and reduces the quality of life symptoms of this disease cannot be identified in the preliminary stage, only very few people are aware of this disease and can predict symptoms at an early stage, an earlier CKD predictor model should be available improved with higher prediction accuracy and precision, hence the need for a decision support system that helps nephrologists in times of emergency therefore, in this research, a naive Bayesian classifier is used for classification along with Hierarchy based selection nb, cb, h, nb classifier works efficiently with huge datasets and reduces computational complexity speed of prediction and disease severity analysis with nbare extremely higher

Published Paper   E-Certificate

Pratik Bothra, Dhanush M., Hency Raj, Raman Zanwar, & Dr. S. Nagaraj (May-2024). Chronic Kidney Disease Prediction by using Naive Bayes. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d386-d390. https://ijnrd.org/papers/IJNRD2405344.pdf

Volume 9 Issue 5, May-2024

Pages : d386-d390

Paper Reg. ID: IJNRD_221472

Published Paper Id: IJNRD2405344

Downloads: 000121979

Research Area: Bio Medical Engineering 

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405344.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405344

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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