This chapter covers the application of artificial neural networks in modeling medical data. You’ll learn how to execute deep belief networks to model data and predict whether a patient suffers from a disease (specifically cardiovascular disease and diabetes). Further, you will 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.
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
T. C. NokeriArtificial Intelligence in Medical Sciences and Psychologyhttps://doi.org/10.1007/978-1-4842-8217-5_22. Realizing Patterns in Diseases with Neural Networks
Tshepo Chris Nokeri1
(1)
Pretoria, South Africa
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