TY  - BOOK
AU  - Berliner,Leonard
AU  - Lemke,Heinz U.
ED  - SpringerLink (Online service)
TI  - An Information Technology Framework for Predictive, Preventive and Personalised Medicine: A Use-Case with Hepatocellular Carcinoma 
T2  - Advances in Predictive, Preventive and Personalised Medicine,
SN  - 9783319121666
AV  - R858-859.7 
U1  - 502.85 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Medicine
KW  - Health informatics
KW  - Hepatology
KW  - Oncology
KW  - Data mining
KW  - Computer simulation
KW  - Medicine & Public Health
KW  - Health Informatics
KW  - Data Mining and Knowledge Discovery
KW  - Simulation and Modeling
KW  - Electronic books
KW  - local
N1  - 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
N2  - 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
UR  - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-3-319-12166-6
ER  -