Deep learning for health tech neural network applications in healthcare using Python and TensorFlow

"Neural networks have been widely adopted across many industries as the ultimate pattern recognition tool. While their current uses in healthcare are limited, neural networks have a promising future in diagnostic and decision making applications, because of their ability to mimic--and improve o...

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Bibliographic Details
Main Author: Nielsen, Aileen
Format: eBook
Language:English
Published: [Place of publication not identified] O'Reilly Media 2017
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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300 |a 1 streaming video file (1 hr., 33 min., 17 sec.) 
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653 |a Medical care / Data processing / fast / (OCoLC)fst01013786 
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653 |a Medical care / Data processing 
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520 |a "Neural networks have been widely adopted across many industries as the ultimate pattern recognition tool. While their current uses in healthcare are limited, neural networks have a promising future in diagnostic and decision making applications, because of their ability to mimic--and improve on--human capabilities in health-related advice and treatment. This video explains the basics of neural networks; shows examples of training neural networks with both image-based and unstructured healthcare data; and describes the kinds of neural networks most likely to be useful for health-related applications."--Resource description page