Data mining to determine risk in medical decisions
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...
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| Autor Corporativo: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Amsterdam ; Washington, D.C. :
IOS Press
c2011.
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| Colección: | EBSCO Academic eBook Collection Complete.
Studies in health technology and informatics ; v.171. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b31048870*spi |
| Sumario: | 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. |
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| Notas: | Incluye índice. |
| Descripción Física: | xi, 257 p. |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9781607508397 |
