Data mining to determine risk in medical decisions [E-Book]
Series: Studies in health technology and informatics ; v. 171.Publication details: Amsterdam ; Washington, D.C. : IOS Press, 2011.Description: 1 online resource (xi, 257 pages)Content type:- text
- computer
- online resource
- 9781607508397
- 1607508397
- 128343301X
- 9781283433013
- 9781607508380
- 1607508389
- W 26.55.I4
- XF 3500
Item type | Home library | Class number | URL | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Electronic book | Stenhouse Library | Link to resource | Available |
Includes index.
Decisions regarding the risks involved in medical treatments must belong to patients and their physicians - after all, it is the patient's health and life which is at stake. But patients will not be equipped for this decision-making process if they cannot be given some idea as to the risks and benefits of treatment. Such risks are generally estimated by a consensus panel of specialist physicians using supporting medical literature. Unfortunately, this literature does not always provide a good estimate of risk, particularly in the case of rare occurrences. This book demonstrates statistical tec.
Title page; Preface; Acknowledgement; Contents; Introduction to Medical Risk; Post-Marketing Reporting of Adverse Events and Decisions Concerning Medications; Risk Versus Benefit in Medical Decision Making; The Problem of Competing Risks and Competing Perspectives in Decision Making; The Perception and Misperception of Risk in Decision Making; The Issue of Risk by Group Identity in Decision Making; The Issue of Extrapolation; The Issue of Futility in Decision Making; Costs and Risks; Discussion; Appendix on Methodology; Subject Index.
Includes bibliographical references and index.
WorldCat record variable field(s) change: 650
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