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  • 标题:Analysis of Different Types of Arrhythmia Using Ensemble Model
  • 本地全文:下载
  • 作者:Harshitha. R ; Suresh .L
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2019
  • 卷号:7
  • 期号:6
  • 页码:3317-3323
  • DOI:10.15680/IJIRCCE.2019. 0706010
  • 出版社:S&S Publications
  • 摘要:Arrhythmia is a condition in which the human heart beats with an irregular or abnormal rhythm which may be immediately fatal or cause irreparable damage to the heart. This type of a fatal abnormality would require a model which gives high accuracy and takes short periods of time for classification. In this project, a high dimensional clinical dataset consisting of Electrocardio (ECG) results of patients is used by individual classifiers like Multi-Layer-Perceptron(MLP), Support Vector Machine (SVM) and Naïve bayes to classify them into different types of Arrhythmia.
  • 关键词:NA values; Arrhythmia; Ensemble Model; Accuracy
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