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.
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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