ECU Libraries Catalog

Outcome prediction in cancer / editors, Azzam F.G. Taktak and Anthony C. Fisher.

Other author/creatorTaktak, Azzam F. G.
Other author/creatorFisher, Anthony C., Dr.
Format Electronic and Book
Edition1st ed.
Publication InfoAmsterdam ; Boston : Elsevier,
Descriptionxx, 461 p. : ill. ; 25 cm.
Supplemental Content Full text available from eBook - Medicine and Dentistry 2007 [EBCMD07]
Supplemental Content Full text available from Ebook Central - Academic Complete
Subject(s)
Contents 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.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2010485254
ISBN9780444528551
ISBN0444528555

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