Download e-book for kindle: Artificial Neural Networks in Biomedicine by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S.

By Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak

ISBN-10: 1852330058

ISBN-13: 9781852330057

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.

Show description

Read Online or Download Artificial Neural Networks in Biomedicine PDF

Best bioinformatics books

Bioinformatics Sequence and Genome Analysis by David Mount PDF

As extra species' genomes are sequenced, computational research of those facts has turn into more and more very important. the second one, solely up to date variation of this commonly praised textbook presents a accomplished and significant exam of the computational equipment wanted for examining DNA, RNA, and protein information, in addition to genomes.

Cancer Proteomics: From Bench to Bedside (Cancer Drug - download pdf or read online

This booklet covers present issues with regards to using proteomic suggestions in melanoma remedy in addition to expected demanding situations that could come up from its software in day-by-day perform. It information present applied sciences utilized in proteomics, examines the use proteomics in phone signaling, provides scientific purposes of proteomics in melanoma remedy, and appears on the function of the FDA in regulating using proteomics.

ACRI ’96: Proceedings of the Second Conference on Cellular by S. Bandini, G. Mauri (auth.) PDF

ACRI'96 is the second one convention on mobile Automata for learn and undefined; the 1st one used to be held in Rende (Cosenza), on September 29-30, 1994. This moment variation confirms the starting to be curiosity in mobile Automata at present current either within the clinical neighborhood and in the commercial functions international.

Additional info for Artificial Neural Networks in Biomedicine

Sample text

American Journal ofPhysiology, 246:R251-R258, 1984. [13] Stein, R. , Lee, R. , and Nichols, T. R. Modifications of ongoing tremors and locomotion by sensory feedback. Electroencephelography of Clinical Neurophysiology, 34(Suppl):511-19, 1978. [14] Sarna, S. K. Cyclic motor activity: Gastroenterology, 89:894-913, 1985. Migrating motor complex. [15] Bortoff, A. Electrical activity of intestine recorded with pressure electrode. American Journal of Physiology, 20 1:209-12, 1961. , and Blattner, P. The uterine contractility index.

Meth Inform Med, 37:59-63, 1998. [47] Shanker, M. S. Using neural networks to predict the onset of diabetes mellitus. J Chem In/Comput Sci, 36:35-41, 1996. [48] Bishop, J. , Ananthraman, S. , McIntyre, D. , and Pope M. H. Classification of low back pain from dynamic motion characteristics using an artificial neural network. Spine, 22(24):2991-2998, 1997. [49] Park, H. , Lee, E. , Song, M. S. Development of a nursing diagnosis system using a back-propagation neural network model: An application for stomach cancer patients.

And Dobbs, A. R. Classification and staging of dementia of the alzheimer type. Arch Neurol, 54:1001-9, 1997. , et al: Classification of mild Alzheimer's disease by artificial neural network analysis ofSPET data. Nuclear Medicine Communications, 18:805-810, 1997. , Juhola, M. Comparison of different neural network algorithms in the diagnosis of acute appendicitis. International J BioMedical Computing, 40:227-233, 1996. , and Juhola, M. Diagnosis of acute appendicitis in two databases: Evaluation of different neighborhoods with an L VQ neural network.

Download PDF sample

Artificial Neural Networks in Biomedicine by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak


by Mark
4.3

Rated 4.37 of 5 – based on 49 votes