Cardiovascular Disease Prediction Using Machine Learning

EasyChair Preprint 3766

Abstract

In the current era of computer science each and every thing becomes intelligent,self suffiecient and perform task like humans. For these purposes there are various tools, techniques and methods are proposed. Support Vector Machine is a model for statistics and computer science, that has a algorithm to perform supervised learning, methods that are used for the analysis of data and Recognize patterns. SVM (Support Vector Machine) is mostly used for the classifications and the regression analysis and in the same way K- Nearest  Neighbor Algorithm  is a classification algorithm that is used to classify data  using training examples. In this research paper we use SVM and KNN algorithm to classify data and predicting (find hidden patterns) the target clusters. Here we use Medical patients nominal data from the common patients to classify and discover the data pattern to predict the  future diseases.Here we also Uses data mining which is used to classify the text analysis in future.

Keyphrases: K nearest neighbour algorithm, Support Vector Machine, machine learning

@booklet{EasyChair:3766,
  author    = {Anurag Singh},
  title     = {Cardiovascular Disease Prediction Using Machine Learning},
  howpublished = {EasyChair Preprint 3766},
  year      = {EasyChair, 2020}}