Editors:
- 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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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Weill Cornell Medical College of Cornell, New York, USA
Leonard Berliner
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Technical University of Berlin, Kuessaberg, Germany
Heinz U. Lemke
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