Overview
- 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
Part of the book series: Advances in Predictive, Preventive and Personalised Medicine (APPPM, volume 8)
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About this book
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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Table of contents (13 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: An Information Technology Framework for Predictive, Preventive and Personalised Medicine
Book Subtitle: A Use-Case with Hepatocellular Carcinoma
Editors: Leonard Berliner, Heinz U. Lemke
Series Title: Advances in Predictive, Preventive and Personalised Medicine
DOI: https://doi.org/10.1007/978-3-319-12166-6
Publisher: Springer Cham
eBook Packages: Medicine, Medicine (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-12165-9Published: 12 June 2015
Softcover ISBN: 978-3-319-38434-4Published: 17 October 2016
eBook ISBN: 978-3-319-12166-6Published: 04 March 2015
Series ISSN: 2211-3495
Series E-ISSN: 2211-3509
Edition Number: 1
Number of Pages: XX, 130
Number of Illustrations: 8 b/w illustrations, 15 illustrations in colour
Topics: Health Informatics, Data Mining and Knowledge Discovery, Oncology, Hepatology, Simulation and Modeling