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|a 9783319121666
|9 978-3-319-12166-6
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|a 10.1007/978-3-319-12166-6
|2 doi
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|a An Information Technology Framework for Predictive, Preventive and Personalised Medicine
|h [electronic resource] :
|b A Use-Case with Hepatocellular Carcinoma /
|c edited by Leonard Berliner, Heinz U. Lemke.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XX, 130 p. 23 illus., 15 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Advances in Predictive, Preventive and Personalised Medicine,
|x 2211-3495 ;
|v 8
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|a Preface -- Introduction -- The Digital Patient Model and Model Guided Therapy -- Hepatocellular Carcinoma and Patient Assessment -- Imaging in Hepatocellular Carcinoma: Radiologic Assessment -- Imaging in Hepatocellular Carcinoma: PET/CT -- Personalized Chemotherapy for Hepatocellular Carcinoma -- Surgical Treatment for Hepatocellular Carcinoma.- Minimally Invasive Therapies for Hepatocellular Cancer: Ablation Technologies -- Chapter 9 Minimally Invasive Therapies for Hepatocellular Cancer: Ablation Therapies -- Minimally Invasive Therapies for Hepatocellular Cancer:Catheter-Directed Therapies -- Radiation Oncology in the Treatment of Hepatocellular Carcinoma -- Design of an IT System for Hepatocellular Carcinoma -- Outlook and Expert Recommendations for Predictive, Preventive and Personalized Medicine and Hepatocellular Carcinoma.
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|a This book explores how PPPM, clinical practice, and basic research could be best served by information technology (IT). A use-case was developed for hepatocellular carcinoma (HCC). The subject was approached with four interrelated tasks: (1) review of clinical practices relating to HCC; (2) propose an IT system relating to HCC, including clinical decision support and research needs; (3) determine how a clinical liver cancer center can contribute; and, (4) examine the enhancements and impact that the first three tasks will have on the management of HCC. An IT System for Personalized Medicine (ITS-PM) for HCC will provide the means to identify and determine the relative value of the wide number of variables, including clinical assessment of the patient -- functional status, liver function, degree of cirrhosis, and comorbidities; tumor biology, at a molecular, genetic and anatomic level; tumor burden and individual patient response; medical and operative treatments and their outcomes.
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650 |
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|a Medicine.
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|a Health informatics.
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|a Hepatology.
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|a Oncology.
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650 |
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|a Data mining.
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|a Computer simulation.
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650 |
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|a Medicine & Public Health.
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650 |
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|a Health Informatics.
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|a Data Mining and Knowledge Discovery.
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650 |
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|a Oncology.
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650 |
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|a Hepatology.
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|a Simulation and Modeling.
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700 |
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|a Berliner, Leonard.
|e editor.
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|a Lemke, Heinz U.
|e editor.
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710 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319121659
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830 |
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|a Advances in Predictive, Preventive and Personalised Medicine,
|x 2211-3495 ;
|v 8
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-12166-6
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SME
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950 |
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|a Medicine (Springer-11650)
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