Diabetes Mellitus - Evaluating the Diagnostic Probabilities

Diabetes Mellitus - Evaluating the Diagnostic Probabilities

Adi Armoni (Tel-Aviv College of Management, Israel)
Copyright: © 2000 |Pages: 9
DOI: 10.4018/978-1-878289-62-9.ch008
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The article examines the behavior of the human decision-maker. It surveys research in which about 90 physicians specializing in various fields and with different degrees of seniority participated. It tackles the question of whether it is possible to found the majority of the knowledge bases of the expert systems on the Bayesian theory. We will discuss the way of decision making conforming to the probabilities evaluated according to the Bayesian theory. The logical conclusion, therefore, is that the development of a knowledge base for an expert system founded on probabilities calculated in accordance with the Bayesian theory must be carried out in a controlled manner and depend on the parameters mentioned above.

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Table of Contents
Adi Armoni
Chapter 1
Anita Krabbel, Ingrid Wetzel
Anyone working in the area of hospital information systems is sooner or later amazed about the intrinsic complexity of the field. Finding ways to... Sample PDF
Designing Hospital Information Systems: Handling Complexity via a User-Oriented, Document-Based Approach
Chapter 2
Minh Huynh, Sal Agnihothri
In this chapter, we present key principles and the limitations of business process reengineering (BPR) in general, and the use of BPR in healthcare... Sample PDF
Healthcare Process Redesign: A Case Study
Chapter 3
Lech J. Janczewski
This chapter outlines the major issues related to the security of medical information systems. Medical information systems are unique in this sense... Sample PDF
Information Security Framework for Health Information Systems
Chapter 4
Felix B. Tan, Gehan Gunasekara
The chapter reports on recent developments in the management of health information in New Zealand and the implications these initiatives have raised... Sample PDF
Health Information Management and Individual Privacy: Application of New Zealand's Privacy Legislation
Chapter 5
Richard Heeks, David Mundy, Angel Salazar
Some health care information systems (HCIS) do succeed, but the majority are likely to fail in some way. To explain why this happens, and how... Sample PDF
Understanding Success and Failure of Healthcare Information Systems
Chapter 6
Adi Armoni
In recent years we have witnessed sweeping developments in information technology. Currently, the most promising and interesting domain seemed to be... Sample PDF
The Use of Artificial Intelligence Techniques and Applications in the Medical Domain
Chapter 7
Guisseppi A. Forgionne, Aryya Gangopadhyay, Monica Adya
There are various forms of fraud in the health care industry. This fraud has a substantial financial impact on the cost of providing healthcare.... Sample PDF
An Intelligent Data Mining System to Detect Healthcare Fraud
Chapter 8
Adi Armoni
The article examines the behavior of the human decision-maker. It surveys research in which about 90 physicians specializing in various fields and... Sample PDF
Diabetes Mellitus - Evaluating the Diagnostic Probabilities
Chapter 9
Bruno Lavi, Zeev Rothstein
Health systems broaden their importance in the midst of the ongoing international communications revolution. Health services are a natural candidate... Sample PDF
Telemedicine and the Information Highway
Chapter 10
Mahesh S. Raisinghani, Ann Shou-an Char
Client-server architecture is a local area network (LAN) based computing environment in which a central database sever or engine performs all... Sample PDF
Client-Server Computing: Lessons Learned and an Application in the Healthcare Industry
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