Outcome prediction in cancer
Taktak, Azzam F. G.

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  • Outcome prediction in cancer
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Outcome prediction in cancer/ editors, Azzam F.G. Taktak and Anthony C. Fisher.{me_controlnum}
    其他作者: Taktak, Azzam F. G.
    出版者: Amsterdam ;Elsevier, : c2007.,
    面頁冊數: xx, 461 p. :ill. ;25 cm.
    內容註: Section 1 The Clinical Problem. -- THE PREDICTIVE VALUE OF DETAILED HISTOLOGICAL STAGING OF SURGICAL RESECTION SPECIMENS IN ORAL CANCER -- Chapter 1: The predictive value of detailed histological staging of surgical resection specimens in oral cancer. -- J. Woolgar -- Liverpool Dental School, UK -- Chapter 2: Survival after Treatment of Intraocular Melanoma. -- B.E. Damato, A.F.G. Taktak, -- Royal Liverpool University Hospital, UK -- Chapter 3: Recent developments in relative survival analysis. -- T. Hakulinen, T.A. Dyba, -- Finnish Cancer Registry -- Section 2 Biological and Genetic Factors -- Chapter 4: Environmental and genetic risk factors of lung cancer. -- A. Cassidy, J.K. Field, -- University of Liverpool, UK -- Chapter 5: Chaos, cancer, the cellular operating system and the prediction of survival in head and neck cancer. -- A.S. Jones, -- University Hospital Aintree, UK -- Section 3 Mathematical Background of Prognostic Models -- Chapter 6: Flexible hazard modelling for outcome prediction in cancer - perspectives for the use of bioinformatics knowledge. -- E.Biganzoli1, P. Boracchi2 -- 1 Istituto Nazionale per lo Studio e la Cura dei Tumori, Milano, Italy -- 2 Universi�t degli Studi di Milano, Milano, Italy -- Chapter 7: Information geometry for survival analysis and feature selection by neural networks. -- A. Eleuteri 1,2, R. Tagliaferri 3,4, L. Milano 1,2, M. De Laurentiis 1 -- 1Universi�t di Napoli, Italy -- 2INFN sez. Napoli, Italy -- 3Universit`a di Salerno, Italy -- 4INFN sez. distaccata di Salerno, Italy -- Chapter 8: Artificial neural networks used in the survival analysis of breast cancer patients: A node negative study. -- C.T.C. Arsene, P.J. Lisboa, -- Liverpool John Moores University, UK -- Section 4 Application of Machine Learning Methods -- Chapter 9: The use of artificial neural networks for the diagnosis and estimation of prognosis in cancer patients. -- A. Marchevsky, -- Cedars-Sinai Medical Center, Los Angeles, USA -- Chapter 10: Machine learning contribution to solve prognosis medical problems. -- F. Baronti, A. Micheli, A. Passaro, A.Starita, -- University of Pisa, Italy -- Chapter 11: Classification of brain tumours by pattern recognition of Magnetic Resonance Imaging and Spectroscopic data. -- A. Devos1, S. Van Huffel1 A.W. Simonetti1, M. van der Graaf2, A. Heerschap2, L.M.C. Buydens3 -- 1Katholieke Universiteit Leuven, Belgium -- 2University Nijmegen Medical Centre, The Netherlands -- 3Radboud University Nijmegen, The Netherlands -- -- Chapter 12: Towards automatic risk analysis for hereditary non-polyposis colorectal cancer based on pedigree data. -- M. Kokuer1, R.N.G. Naguib1, P. Jancovic2, H.B. Younghusband3, R. Green3 -- 1Coventry University, UK -- 2University of Birmingham, UK -- 3University of Newfoundland, Canada -- Chapter 13: The impact of microarray technology in brain cancer. -- M. Kounelakis1, M. Zervakis1, X. Kotsiakis2 -- 1Technical University of Crete, GREECE -- 2District Hospital of Chania, GREECE -- Section 5 Dissemination of Information -- Chapter 14: The web and the new generation of medical information. -- J.M. Fonseca, A.D. Mora, P. Barroso -- University of Lisbon, Portugal -- Chapter 15: Geoconda: a web environment for multi-centre research. -- C. Setzkorn, A.F.G. Taktak, B.E. Damato -- Royal Liverpool University Hospital, Liverpool, UK -- Chapter 16: The development and execution of medical prediction models. -- M.W. Kattan1, M. �Gnen2, P.T. Scardino2 -- 1The Cleveland Clinic Fondation, Cleveland, USA -- 2Memorial Sloan-Kettering Cancer Center, New York, USA.
    內容註: The predictive value of detailed histological staging of surgical resection specimens in oral cancer -- Survival after treatment of intraocular melanoma -- Recent developments in relative survival analysis -- Environmental and genetic risk factors of lung cancer -- Chaos, cancer, the cellular operating system and the prediction of survival in head and neck cancer -- Flexible hazard modelling for outcome prediction in cancer: perspectives for the use of bioinformatics knowledge -- Information geometry for survival analysis and feature selection by neural networks -- Artificial neural networks used in the survival analysis of breast cancer patients: a node-negative study -- The use of artificial neural networks for the diagnosis and estimation of prognosis in cancer patients -- Machine learning contribution to solve prognostic medical problems -- Classification of brain tumors by pattern recognition of magnetic resonance imaging and spectroscopic data -- Towards automatic risk analysis for hereditary non-polyposis colorectal cancer based on pedigree data -- The impact of microarray technology in brain cancer -- The web and the new generation of medical information systems -- Geoconda: a web environment for multi-centre research -- The development and execution of medical prediction models.
    標題: Cancer - Diagnosis. -
    電子資源: http://www.sciencedirect.com/science/book/9780444528551An electronic book accessible through the World Wide Web; click for information
    ISBN: 9780444528551
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