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Computerised Decision Support for Women’s Health Informatics

Computerised Decision Support for Women’s Health Informatics
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Author(s): David Parry (Auckland University of Technology, New Zealand)
Copyright: 2010
Pages: 14
Source title: Health Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Joel J.P.C. Rodrigues (Senac Faculty of Ceará, Fortaleza-CE, Brazil; Instituto de Telecomunicações, Portugal)
DOI: 10.4018/978-1-60566-988-5.ch079

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Abstract

Decision analysis techniques attempt to utilize mathematical data about outcomes and preferences to help people make optimal decisions. The increasing uses of computerized records and powerful computers have made these techniques much more accessible and usable. The partnership between women and clinicians can be enhanced by sharing information, knowledge, and the decision making process in this way. Other techniques for assisting with decision making, such as learning from data via neural networks or other machine learning approaches may offer increased value. Rules learned from such approaches may allow the development of expert systems that actually take over some of the decision making role, although such systems are not yet in widespread use.

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