Data mining to determine risk in medical decisions /

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Bibliographic Details
Author / Creator:Cerrito, Patricia B.
Imprint:Amsterdam ; Washington, D.C. : IOS Press, ©2011.
Description:1 online resource (xi, 257 pages)
Language:English
Series:Studies in health technology and informatics ; v. 171
Studies in health technology and informatics ; v. 171.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11122937
Hidden Bibliographic Details
Other authors / contributors:IOS Press.
ISBN:9781607508397
1607508397
128343301X
9781283433013
9781607508380
1607508389
Notes:Includes index.
Includes bibliographical references and index.
Summary: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.
Other form:Print version: Cerrito, Patricia B. Data mining to determine risk in medical decisions. Amsterdam ; Washington, D.C. : IOS Press, ©2011
Standard no.:9786613433015