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The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with previous and forthcoming Computer Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as applied to
Biomedical engineering -- Computer simulation. --- Biomedical engineering -- Research. --- Biomedical engineering --- Bioengineering --- Computer simulation. --- Biological engineering --- Life science engineering --- Clinical engineering --- Medical engineering --- Biology --- Engineering --- Synthetic biology --- Biophysics --- Medicine
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The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with previous and forthcoming 'Computer Methods' volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as app
Biomedical engineering -- Computer simulation. --- Biomedical engineering. --- Computer Simulation. --- Models, Biological. --- Signal processing. --- Mathematical Computing --- Computational Biology --- Biomedical Engineering --- Computer Simulation --- Computing Methodologies --- Health Occupations --- Biology --- Engineering --- Disciplines and Occupations --- Biological Science Disciplines --- Technology, Industry, and Agriculture --- Information Science --- Technology, Industry, Agriculture --- Natural Science Disciplines --- Medical & Biomedical Informatics --- Animal Biochemistry --- Medicine --- Human Anatomy & Physiology --- Health & Biological Sciences --- Biomedical engineering --- Enzymology. --- Computer simulation. --- Clinical engineering --- Medical engineering --- Biochemistry --- Enzymes --- Bioengineering --- Biophysics
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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: . Types of neural networks and neural network algorithms. Knowledge representation, knowledge acquisition, and reasoning methodologies. Chaotic analysis of biomedical time series. Genetic algorithms. Probability-based systems and fuzzy systems. Evaluation and validation of decision support aids. An Instructor Support FTP site is available from the Wiley editorial department: ftp://ftp.ieee.org/uploads/press/hudson.
Artificial intelligence --- Neural networks (Computer science) --- Expert systems (Computer science) --- Biomedical engineering --- Neural Networks, Computer. --- Biomedical Engineering. --- Expert Systems. --- Artificial Intelligence. --- Medical applications --- Computer simulation --- Expert systems (Computer science). --- Neural networks (Computer science). --- Medical applications. --- Computer simulation. --- #TELE:SISTA --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Natural computation --- Soft computing --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Computer systems --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Data processing --- Artificial intelligence - Medical applications --- Biomedical engineering - Computer simulation
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