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Effective Use of Naïve Bayes, Decision Tree, and Random Forest Techniques for Analysis of Chronic Kidney Disease

Rajesh S. Walse, G. D. Kurundkar, Santosh Khamitkar, Aniket Muley, Parag Bhalchandra, Sakharam Lokhande

2020Smart innovation, systems and technologies16 citationsDOI

Topics & Concepts

C4.5 algorithmNaive Bayes classifierDecision treeRandom forestKidney diseaseComputer scienceData miningClassifier (UML)Artificial intelligenceBayes' theoremDecision tree learningTree (set theory)Machine learningMedicineMathematicsSupport vector machineInternal medicineBayesian probabilityMathematical analysisArtificial Intelligence in HealthcareImbalanced Data Classification Techniques
Effective Use of Naïve Bayes, Decision Tree, and Random Forest Techniques for Analysis of Chronic Kidney Disease | Litcius