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Chronic‌ ‌Kidney‌ ‌Disease‌ ‌Prediction‌ ‌by‌ ‌Machine‌ ‌Learning‌

EasyChair Preprint no. 3832

5 pagesDate: July 12, 2020


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, machine learning, Naive Bayes, Random Forest

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Abhishek Kumar Pandit and Rohit Prasad Kushwaha and Indra Kumar},
  title = {Chronic‌ ‌Kidney‌ ‌Disease‌ ‌Prediction‌ ‌by‌ ‌Machine‌ ‌Learning‌},
  howpublished = {EasyChair Preprint no. 3832},

  year = {EasyChair, 2020}}
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