Kidney Disease Detection and Identification Using Artificial Intelligence
Author:
Affiliation:
1. Amity University,Amity School of Engineering and Technology,Uttar Pradesh
2. Benevis,Atlanta,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10048789/10048790/10048830.pdf?arnumber=10048830
Reference62 articles.
1. Metabolic Profiling of 1H NMR Spectra in Chronic Kidney Disease with Local Predictive Modeling
2. AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes
3. Formal specification of a tool to aid the early dignosis of the Chronic Kidney Disease
4. Prognostic Analysis of Hyponatremia for Diseased Patients Using Multilayer Perceptron Classification Technique;theerthagiri;EAI Endorsed Transactions on Pervasive Health and Technology,2021
5. Extraction of action rules for chronic kidney disease using Naïve bayes classifier;dulhare;2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC),2016
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