HEART SMART
Heart disease is the leading cause of death worldwide, killing 20 million people per year. An accurate and early diagnosis could be the difference between life and death for people with heart disease.
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I used machine learning to improve the accuracy of heart disease diagnosis. Machine learning is a type of artificial intelligence that teaches the computer to learn from existing data and predict outcomes for future data.
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For my project, I innovated HEARO -- Heart Evaluation for Algorithmic Risk-reduction and Optimization. HEARO teaches the computer to act as an artificial brain by using variable-layer regularized deep neural networks to sort and classify data.
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HEARO is a unique contribution to the field in two major ways: 1) it beats existing results including those from Stanford, and 2) the combination of a deep neural network and regularization is a novel diagnostic tool
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HEARO can give doctors a potentially life-saving tool to make a more informed diagnosis and allow people to receive treatment when they need it.
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