Abstract
This chapter covers the application of artificial neural networks in modeling medical data. It shows you how to execute deep belief networks to model data and predict whether a patient suffers from a disease (specifically cardiovascular disease and diabetes). Equally, you learn how to appraise networks with key metrics to find out the extent to which the networks differentiate patients who suffer from the disease from those who do not.
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© 2022 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
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Nokeri, T.C. (2022). Realizing Patterns in Diseases with Neural Networks. In: Artificial Intelligence in Medical Sciences and Psychology. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-8217-5_2
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DOI: https://doi.org/10.1007/978-1-4842-8217-5_2
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-8216-8
Online ISBN: 978-1-4842-8217-5
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