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|a UAMI
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1 |
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|a Taktak, Azzam F. G.
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245 |
1 |
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|a Outcome Prediction in Cancer.
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260 |
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|a Burlington :
|b Elsevier,
|c 2007.
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300 |
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|a 1 online resource (483 pages)
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336 |
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|a text
|b txt
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|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.
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|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.
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505 |
8 |
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|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.
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|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.
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|a A multi-disciplinary book addressing the question of outcome prediction in cancer addressing topics on clinical medicine, mathematics, biology, and bioinformatics.
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588 |
0 |
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|a Print version record.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
|
0 |
|a Cancer
|x Diagnosis.
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650 |
|
0 |
|a Cancer
|x Prognosis.
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650 |
|
0 |
|a Neural networks (Computer science)
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650 |
|
0 |
|a Survival analysis (Biometry)
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650 |
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2 |
|a Neural Networks, Computer
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650 |
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2 |
|a Survival Analysis
|
650 |
|
6 |
|a Cancer
|x Diagnostic.
|
650 |
|
6 |
|a Cancer
|x Pronostic.
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650 |
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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 |
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|a Fisher, Anthony C.
|
758 |
|
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|i has work:
|a Outcome prediction in cancer (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFPT4HVXMP646HBGTM8pyd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
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|z 9780080468037
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776 |
1 |
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|z 0444528555
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=284006
|z Texto completo
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938 |
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|n 33399
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|a ProQuest Ebook Central
|b EBLB
|n EBL284006
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|a ProQuest MyiLibrary Digital eBook Collection
|b IDEB
|n 74728
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