An Information Technology Framework for Predictive, Preventive and Personalised Medicine
A Use-Case with Hepatocellular Carcinoma
Editors: Berliner, Leonard, Lemke, Heinz U. (Eds.)
- 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
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- About this book
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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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Bibliographic Information
- Bibliographic Information
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- Book Title
- An Information Technology Framework for Predictive, Preventive and Personalised Medicine
- Book Subtitle
- A Use-Case with Hepatocellular Carcinoma
- Editors
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- Leonard Berliner
- Heinz U. Lemke
- Series Title
- Advances in Predictive, Preventive and Personalised Medicine
- Series Volume
- 8
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-12166-6
- DOI
- 10.1007/978-3-319-12166-6
- Hardcover ISBN
- 978-3-319-12165-9
- Softcover ISBN
- 978-3-319-38434-4
- Series ISSN
- 2211-3495
- Edition Number
- 1
- Number of Pages
- XX, 130
- Number of Illustrations and Tables
- 8 b/w illustrations, 15 illustrations in colour
- Topics