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Outcome Prediction in Cancer.

A multi-disciplinary book addressing the question of outcome prediction in cancer addressing topics on clinical medicine, mathematics, biology, and bioinformatics.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Taktak, Azzam F. G.
Otros Autores: Fisher, Anthony C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington : Elsevier, 2007.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Outcome Prediction in Cancer. 
260 |a Burlington :  |b Elsevier,  |c 2007. 
300 |a 1 online resource (483 pages) 
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505 0 |a Front cover -- OUTCOME PREDICTION IN CANCER -- Copyright page -- Foreword -- Contents -- Contributors -- Introduction -- Section 1: The Clinical Problem -- Chapter 1: The Predictive Value of Detailed Histological Staging of Surgical Resection Specimens in Oral Cancer -- Chapter 2: Survival after Treatment of Intraocular Melanoma -- Chapter 3: Recent Developments in Relative Survival Analysis -- Section 2: Biological and Genetic Factors -- Chapter 4: Environmental and Genetic Risk Factors of Lung Cancer. 
505 8 |a Chapter 5: Chaos, Cancer, the Cellular Operating System and the Prediction of Survival in Head and Neck Cancer -- Section 3: Mathematical Background of Prognostic Models -- Chapter 6: Flexible Hazard Modelling for Outcome Prediction in Cancer: Perspectives for the Use of Bioinformatics Knowledge -- Chapter 7: Information Geometry for Survival Analysis and Feature Selection by Neural Networks -- Chapter 8: Artificial Neural Networks Used in the Survival Analysis of Breast Cancer Patients: A Node-Negative Study -- Section 4: Application of Machine Learning Methods. 
505 8 |a Chapter 9: The Use of Artificial Neural Networks for the Diagnosis and Estimation of Prognosis in Cancer Patients -- Chapter 10: Machine Learning Contribution to Solve Prognostic Medical Problems -- Chapter 11: Classification of Brain Tumours by Pattern Recognition of Magnetic Resonance Imaging and Spectroscopic Data -- Chapter 12: Towards Automatic Risk Analysis for Hereditary Non-Polyposis Colorectal Cancer Based on Pedigree Data -- Chapter 13: The Impact of Microarray Technology in Brain Cancer -- Section 5: Dissemination of Information. 
505 8 |a Chapter 14: The Web and the New Generation of Medical Information Systems -- Chapter 15: Geoconda: A Web Environment for Multi-Centre Research -- Chapter 16: The Development and Execution of Medical Prediction Models -- Subject Index. 
520 |a A multi-disciplinary book addressing the question of outcome prediction in cancer addressing topics on clinical medicine, mathematics, biology, and bioinformatics. 
588 0 |a Print version record. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Cancer  |x Diagnosis. 
650 0 |a Cancer  |x Prognosis. 
650 0 |a Neural networks (Computer science) 
650 0 |a Survival analysis (Biometry) 
650 2 |a Neural Networks, Computer 
650 2 |a Survival Analysis 
650 6 |a Cancer  |x Diagnostic. 
650 6 |a Cancer  |x Pronostic. 
650 6 |a Réseaux neuronaux (Informatique) 
650 6 |a Analyse de survie (Biométrie) 
650 7 |a Cancer  |x Diagnosis  |2 fast 
650 7 |a Cancer  |x Prognosis  |2 fast 
650 7 |a Neural networks (Computer science)  |2 fast 
650 7 |a Survival analysis (Biometry)  |2 fast 
700 1 |a Fisher, Anthony C. 
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