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Software for Probability Models in Medical Informatics

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Probabilistic Modeling in Bioinformatics and Medical Informatics

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

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Summary

The purpose of this chapter is to make the reader aware of some of the software packages available that can implement probability models connected with medical informatics. The modelling techniques considered are logistic regression, neural networks, Bayesian networks, class-probability trees, and hidden Markov models.

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Author information

Authors and Affiliations

  1. InferSpace, 143 Village Way, Pinner, HA5 5AA, UK

    Richard Dybowski

Authors
  1. Richard Dybowski
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Editor information

Editors and Affiliations

  1. Biomathematics and Statistics-BioSS, UK

    Dirk Husmeier DiplPhys, MSc, PhD

  2. InferSpace, UK

    Richard Dybowski BSc, MSc, PhD

  3. Oxford University, UK

    Stephen Roberts MA, DPhil, MIEEE, MIoP, CPhys

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© 2005 Springer-Verlag London Limited

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Dybowski, R. (2005). Software for Probability Models in Medical Informatics. In: Husmeier, D., Dybowski, R., Roberts, S. (eds) Probabilistic Modeling in Bioinformatics and Medical Informatics. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/1-84628-119-9_16

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  • DOI: https://doi.org/10.1007/1-84628-119-9_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-778-0

  • Online ISBN: 978-1-84628-119-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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