An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier
| Author | : Mohammad Ayoub Khan |
| Publisher | : Infinite Study |
| Total Pages | : 11 |
| Release | : |
| ISBN-10 | : |
| ISBN-13 | : |
| Rating | : 4/5 ( Downloads) |
Book Synopsis An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier by : Mohammad Ayoub Khan
Download or read book An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier written by Mohammad Ayoub Khan and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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