Overview
- Latest research in the area of Intelligent Patient Management
Part of the book series: Studies in Computational Intelligence (SCI, volume 189)
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Table of contents(19 chapters)
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Intelligent Patient Management
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Intelligent Healthcare Tools
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Intelligent Clinical Support
About this book
Arguably medicine is either an arts-based science or a science-based art. In medieval times, clinical decisions were based on simple measures, such as the temperature of the body, the rhythm of the pulse, the consistency of the stool and the colour of the urine. Nowadays, thanks partly to modern technology, medical science has improved in many ways, as has healthcare. In particular, approaches which have their origins in Artificial Intelligence and Operational Research have a significant contribution to make in terms of improving not only diagnosis and treatment of patients, but also providing ways of managing patients in a more effective, more efficient, and more patient-friendly manner. This book focuses on the use of such Intelligent Patient Management to the benefit of clinicians, other healthcare and community practitioners and managers, patients and carers.
Editors and Affiliations
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University of Ulster , Coleraine, UK
Sally McClean
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University of London , London, UK
Peter Millard
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University of Westminster , London, UK
Elia El-Darzi
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University of Ulster , Newtownabbey, UK
Chris Nugent
Bibliographic Information
Book Title: Intelligent Patient Management
Editors: Sally McClean, Peter Millard, Elia El-Darzi, Chris Nugent
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-00179-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-00178-9Published: 20 March 2009
Softcover ISBN: 978-3-642-10122-9Published: 28 October 2010
eBook ISBN: 978-3-642-00179-6Published: 04 March 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIII, 334
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Health Informatics, Biomedical Engineering and Bioengineering