heart-disease-classifier's Introduction

Deep Learning CNN Model To Predict Heart Disease Using ECG Scan

In This Model, The Model is Trained Using The ECG Image Dataset.

Sample Images

`Normal Person ECG`

`Myocardial Infected ECG`

`MI`

`Abnormal Heartbeat ECG`

PreProcessed Image

Model Architecture

About Model

Train accuracy is 100 percent
Test accuracy is also 95.6989 percent
Classes of Heart Disease
- NORMAL
- Myocardial
- Abnormal Heartbeat
- MI

Contributed by Srajan

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