Comparative approaches to medical reasoning
著者
書誌事項
Comparative approaches to medical reasoning
（Advances in fuzzy systesm, vol. 3）
World Scientific, c1995
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- Part 1 Knowledge-based systems: CLINAID - medical knowledge-based system based on fuzzy relational structures, L.J. Kohout et al
- diagnostic aspects of diastolic dysfunction - representation in D-Log language, A. Muscari. Part 2 Neural network models: improved noninvasive diagnosis of coronary artery disease using neural networks, M. Akay et al
- fuzzy neural network-based adaptive reasoning with experiential knowledge, H. Ding and M.M. Gupta
- estimation of long-term mortality of myocardial infarction using a neural network based on the Alopex algorithm, W.J. Kostis et al
- neural network-based approach to outcome prognosis for patients with diastolic dysfunction, R.M.E. Sabbatini et al. Part 3 Statistical approaches: implementation of statistical pattern recognition for congestive heart failure, E.A. Patrick
- the application of Bayesian inference with fuzzy evidences in medical reasoning, C. Romer and A. Kandel. Part 4 Modelling techniques: 24 hour analysis of heart rate fluctuations before and after carotid surgery using wavelet transform, M. Akay et al
- reasoning for introducing a new parameter for assessment of myocardial status - the specific potential of myocardium, L. Bacharova. Part 5 Hybrid systems: correct diagnosis of chest pain by an integrated expert system, D. Assanelli et al
- phonocardiogram analysis of congenital and acquired heart diseases using artificial neural networks, D. Barschdorff et al
- hybrid system for diagnosis and treatment of heart disease, D.L. Hudson et al.
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