An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier

Released on by Mohammad Ayoub Khan
preview-18

  • An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier Book Detail

  • Author : Mohammad Ayoub Khan
  • Release Date :
  • Publisher : Infinite Study
  • Genre : Mathematics
  • Pages : 11
  • ISBN 13 :
  • File Size : 41,41 MB
DOWNLOAD BOOK

An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier by Mohammad Ayoub Khan PDF Summary

Book Description: Many researchers have focused on the diagnosis of heart disease, yet the accuracy of the diagnosis results is low. To address this issue, an IoT framework is proposed to evaluate heart disease more accurately using a Modified Deep Convolutional Neural Network (MDCNN). The smartwatch and heart monitor device that is attached to the patient monitors the blood pressure and electrocardiogram (ECG). The MDCNN is utilized for classifying the received sensor data into normal and abnormal.

Disclaimer: www.yourbookbest.com does not own An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Smart Computing

Smart Computing

File Size : 22,22 MB
Total View : 5272 Views
DOWNLOAD

The field of SMART technologies is an interdependent discipline. It involves the latest burning issues ranging from machine learning, cloud computing, optimisat

Smart Cities: A Data Analytics Perspective

Smart Cities: A Data Analytics Perspective

File Size : 68,68 MB
Total View : 2589 Views
DOWNLOAD

This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smar

Internet of Things

Internet of Things

File Size : 33,33 MB
Total View : 681 Views
DOWNLOAD

The book deals with the conceptual and practical knowledge of the latest tools and methodologies of hardware development for Internet of Things (IoT) and variet