An Information Technology Framework for Predictive, Preventive and Personalised Medicine

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Details

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.

Provides a roadmap for integrating Information Technology with PPPM Proposes a methodology for managing vast amounts of personal medical data for decision support by means of Bayesian networks Introduces new concepts such as a Digital Patient Model and Model Guided Therapy Includes supplementary material: sn.pub/extras

Inhalt

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319384344
    • Editor Heinz U. Lemke, Leonard Berliner
    • Sprache Englisch
    • Auflage Softcover reprint of the original 1st edition 2015
    • Größe H235mm x B155mm x T9mm
    • Jahr 2016
    • EAN 9783319384344
    • Format Kartonierter Einband
    • ISBN 3319384341
    • Veröffentlichung 17.10.2016
    • Titel An Information Technology Framework for Predictive, Preventive and Personalised Medicine
    • Untertitel A Use-Case with Hepatocellular Carcinoma
    • Gewicht 242g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 152
    • Lesemotiv Verstehen
    • Genre Medical Books

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