Effective and Precise Classification of Heart Disease Using Deep Learning and Feature Selection
Prompt
An interpretation of deep learning and feature selection used in a medical setup with precise and efficient classification of heart diseases. Imagine a flowing graphic image featuring a deep learning model with layers of neurons visually represented. This model is intertwined with symbolic representations indicating feature selection, such as ticked boxes and magnifying glasses. There may be medical symbols linked like a heart and a stethoscope, symbolizing heart disease. Digital images of data points, graphs, and classification matrix could also populate the image representing data analysis. All elements are interconnected showing their constant interaction.
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