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Sinopsis
This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web.
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Azzam Taktak is a Principal Clinical Scientist in the Department of Clinical Engineering, Royal Liverpool University Hospital and an Honorary Lecturer at the University of Liverpool. His main research interests are the application of mathematical models and artificial intelligence to medical applications specifically in cancer.
Anthony Fisher is a Consultant Clinical Scientist in the Department of Clinical Engineering, Royal Liverpool University Hospital. Previously he was a Senior Lecturer in Bioengineering at the University of Strathclyde. Glasgow. His principal academic interests are biomedical instrumentation and signal processing.
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Outcome Prediction in Cancer
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Elsevier Science 2006-11-28, 2006
ISBN 10: 0444528555
ISBN 13: 9780444528551
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OUTCOME PREDICTION IN CANCER
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Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Nº de ref. del artículo: ABEJUNE24-95584
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Outcome Prediction in Cancer
Librería: ALLBOOKS1, Direk, SA, Australia
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address. Nº de ref. del artículo: SHUB95584
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Outcome Prediction of Cancer
Librería: Revaluation Books, Exeter, Reino Unido
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Hardcover. Condición: Brand New. 1st edition. 461 pages. 10.00x7.00x1.00 inches. In Stock. Nº de ref. del artículo: __0444528555
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Outcome Prediction in Cancer
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Elsevier Science Jan 2007, 2007
ISBN 10: 0444528555
ISBN 13: 9780444528551
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web. 482 pp. Englisch. Nº de ref. del artículo: 9780444528551
Cantidad disponible: 2 disponibles
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Outcome Prediction in Cancer
Publicado por
Elsevier Science & Technology, 2007
ISBN 10: 0444528555
ISBN 13: 9780444528551
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Outcome Prediction in Cancer
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web. Nº de ref. del artículo: 9780444528551
Cantidad disponible: 2 disponibles