srajan-kiyotaka/Heart-Disease-Classifier
The Deep Learning Model Predict the Heart Disease using ECG Images of the Patient!
This tool helps medical professionals quickly assess heart health conditions by analyzing patient ECG images. You input an ECG scan image, and it classifies the heart's condition into categories like Normal, Myocardial, Abnormal Heartbeat, or MI. This is ideal for cardiologists, general practitioners, or medical technicians needing a preliminary diagnostic aid.
No commits in the last 6 months.
Use this if you need an automated initial screening tool to classify heart conditions from ECG images.
Not ideal if you require a comprehensive diagnostic system that goes beyond basic ECG image classification or if you need to analyze raw ECG signal data.
Stars
7
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 18, 2022
Commits (30d)
0
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