This book focuses on approaches to computer-assisted medical decision-making. A unique feature of the book is that a specific problem in medical decision-making has been selected from the literature, with each contributed chapter presenting a different approach to the solution of the same problem. Theoretical foundations for each approach are provided, followed by practical application. Techniques include knowledge-based reasoning, neural network models, hybrid systems, reasoning with uncertainty, and fuzzy logic, among others. The goal is to supply the reader with a variety of theoretical techniques whose practical implementation can be clearly understood through the example. Using a single, concrete example to illustrate different theoretical approaches allows various techniques to be easily contrasted and permits the reader to determine which aspects are pertinent to specific types of applications. Although the methods are illustrated in a medical problem, they have wide applicability in numerous areas of decision-making.
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
A biologist and a Christian theologian examine the scientific and philosophical implications and potential impacts of genetic technologies. God, Science, and Designer Genes: An Exploration of Emerging Technologies provides a unique approach to the central ethical dilemma in contemporary science, offering both an up-to-date account of the current state of genetic technologies and insightful discussions of the moral/theological questions these technologies raise. Coauthored by professors of biology and theology, God, Science, and Designer Genes examines a range of from-the-headlines issues, including the relationship between science and religion, "designing" our children, stem-cell research, cloning, genetics and behavior, genetics and privacy, and using genetic technologies for social justice. Who should benefit—personally and financially—from DNA technology? Who might be harmed? How do we protect individual rights and guard against discrimination? How will embryo modification affect the identity of those so modified? God, Science, and Designer Genes gives readers an eloquent, thoughtful, and objective foundation for considering these and other questions about the potential conflict between scientific achievement, personal faith, and social responsibility.
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