Chronic‌ ‌Kidney‌ ‌Disease‌ ‌Prediction‌ ‌by‌ ‌Machine‌ ‌Learning‌

EasyChair Preprint 3832

Abstract

The application of machine learning in the field of medical diagnosis is increasing gradually. This can be contributed primarily to the improvement in the classification and recognition systems used in disease diagnosis which is able to provide data that aids medical experts in early detection of fatal diseases and therefore, increase the survival rate of patients significantly. In this paper, we apply different classification algorithms on the dataset available in UCI repository for disease prediction.

Keyphrases: Chronic Kidney Disease, Decision Tree, Disease Prediction, KNN, Naive Bayes, Random Forest, machine learning

@booklet{EasyChair:3832,
  author    = {Abhishek Kumar Pandit and Rohit Prasad Kushwaha and Indra Kumar},
  title     = {Chronic‌ ‌Kidney‌ ‌Disease‌ ‌Prediction‌ ‌by‌ ‌Machine‌ ‌Learning‌},
  howpublished = {EasyChair Preprint 3832},
  year      = {EasyChair, 2020}}