By Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak
Following the serious learn actions of the decade, synthetic neural networks have emerged as some of the most promising new applied sciences for bettering the standard of healthcare. Many profitable functions of neural networks to biomedical difficulties were suggested which show, convincingly, the special advantages of neural networks, even supposing many ofthese have simply gone through a restricted scientific overview. Healthcare services and builders alike have found that drugs and healthcare are fertile components for neural networks: the issues the following require services and sometimes contain non-trivial development acceptance initiatives - there are actual problems with traditional equipment, and information should be abundant. the serious study actions in clinical neural networks, and allied components of man-made intelligence, have ended in a considerable physique of data and the creation of a few neural platforms into medical perform. An target of this ebook is to supply a coherent framework for probably the most skilled clients and builders of clinical neural networks on this planet to proportion their wisdom and services with readers.
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Additional info for Artificial Neural Networks in Biomedicine
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Artificial Neural Networks in Biomedicine by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak