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Donna L. Hudson - Neural Networks and Artificial Intelligence for Biomedical Engineering - 9780780334045 - V9780780334045
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Neural Networks and Artificial Intelligence for Biomedical Engineering

€ 222.42
FREE Delivery in Ireland
Description for Neural Networks and Artificial Intelligence for Biomedical Engineering Hardcover. Series: IEEE Press Series on Biomedical Engineering. Num Pages: 340 pages, illustrations. BIC Classification: MBG; MQW; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 262 x 189 x 23. Weight in Grams: 812.
Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems.

Neural Networks and Artificial Intelligence for Biomedical Engineering offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications.

Highlighted topics include:

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Product Details

Format
Hardback
Publication date
1999
Publisher
I.E.E.E.Press United States
Number of pages
340
Condition
New
Series
IEEE Press Series on Biomedical Engineering
Number of Pages
336
Place of Publication
, United States
ISBN
9780780334045
SKU
V9780780334045
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Donna L. Hudson
Donna L. Hudson is professor of Family and Community Medicine at the University of California, San Francisco (UCSF), and Director of Medical Information Resources at the UCSF Fresno Medical Education Program. She is also a member of the executive committee for the Medical Information Sciences Program at UCSF and a member of the Bioengineering Graduate Group at UC Berkeley and ... Read more

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