Foundations of Biomedical Knowledge Representation

Methods and Applications

  • Arjen Hommersom
  • Peter J.F. Lucas

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9521)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9521)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Arjen Hommersom, Peter J. F. Lucas
      Pages 9-32
  3. Diagnosis of Disease

    1. Front Matter
      Pages 33-33
    2. Peter J. F. Lucas, Felipe Orihuela-Espina
      Pages 35-45
    3. Marina Velikova, Inês Dutra, Elizabeth S. Burnside
      Pages 47-67
  4. Monitoring of Health and Disease and Conformance

    1. Front Matter
      Pages 69-69
    2. Federico Chesani, Catherine G. Enright, Marco Montali, Michael G. Madden
      Pages 71-80
    3. Stefano Bragaglia, Federico Chesani, Paola Mello, Marco Montali
      Pages 81-106
    4. Catherine G. Enright, Michael G. Madden
      Pages 107-136
  5. Assessment of Health and Personalisation

    1. Front Matter
      Pages 137-137
    2. Dag Sonntag, Jose M. Peña
      Pages 159-178
  6. Prediction and Prognosis of Health and Disease

    1. Front Matter
      Pages 179-179
    2. Agnieszka Onisko, Allan Tucker, Marek J. Druzdzel
      Pages 181-188
    3. Allan Tucker, Yuanxi Li, Stefano Ceccon, Stephen Swift
      Pages 189-205
    4. Agnieszka Onisko, R. Marshall Austin
      Pages 207-218
    5. Anna Łupińska-Dubicka, Marek J. Druzdzel
      Pages 219-232
  7. Treatment of Disease

    1. Front Matter
      Pages 233-233
    2. Jesse Davis, Luis Enrique Sucar, Felipe Orihuela-Espina
      Pages 235-241
    3. Jesse Davis, Vítor Santos Costa, Peggy Peissig, Michael Caldwell, David Page
      Pages 243-257
    4. Luis Enrique Sucar, Shender Maria Ávila-Sansores, Felipe Orihuela-Espina
      Pages 259-278
  8. Recommendation

    1. Front Matter
      Pages 279-279
    2. Luca Anselma, Alessio Bottrighi, Arjen Hommersom, Paolo Terenziani, Anthony Hunter
      Pages 281-286
    3. Luca Anselma, Alessio Bottrighi, Laura Giordano, Arjen Hommersom, Gianpaolo Molino, Stefania Montani et al.
      Pages 287-315
  9. Back Matter
    Pages 339-339

About this book


Medicine and health care are currently faced with a significant rise in their complexity. This is partly due to the progress made during the past three decades in the fundamental biological understanding of the causes of health and disease at the molecular, (sub)cellular, and organ level. Since the end of the 1970s, when knowledge representation and reasoning in the biomedical field became a separate area of research, huge progress has been made in the development of methods and tools that are finally able to impact on the way medicine is being practiced.


Even though there are huge differences in the techniques and methods used by biomedical researchers, there is now an increasing tendency to share research results in terms of formal knowledge representation methods, such as ontologies, statistical models, network models, and mathematical models. As there is an urgent need for health-care professionals to make better decisions, computer-based support using this knowledge is now becoming increasingly important. It may also be the only way to integrate research results from the different parts of the spectrum of biomedical and clinical research.


The aim of this book is to shed light on developments in knowledge representation at different levels of biomedical application, ranging from human biology to clinical guidelines, and using different techniques, from probability theory and differential equations to logic. The book starts with two introductory chapters followed by 18 contributions organized in the following topical sections: diagnosis of disease; monitoring of health and disease and conformance; assessment of health and personalization; prediction and prognosis of health and disease; treatment of disease; and recommendations. 


automated reasoning consistency-based reasoning expert systems knowledge engineering knowledge-based systems abduction bayesian belief networks clinical guidelines conformance deduction event calculus horn clauses inference engine influence diagrams inheritance knowledge management knowledge system problem solving rules sport and influenza

Editors and affiliations

  • Arjen Hommersom
    • 1
  • Peter J.F. Lucas
    • 2
  1. 1.Inst. for Computing and Inf. SciencesRadboud UniversityNijmegenThe Netherlands
  2. 2.Inst. for Computing and Inf. SciencesRadboud UniversityNijmegenThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-28006-6
  • Online ISBN 978-3-319-28007-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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