IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v16y1996i4p386-398.html
   My bibliography  Save this article

Neural Networks in Clinical Medicine

Author

Listed:
  • Will Penny
  • David Frost

Abstract

Neural networks are parallel, distributed, adaptive information-processing systems that develop their functionality in response to exposure to information. This paper is a tutorial for researchers intending to use neural nets for medical decision-making applications. It includes detailed discussion of the issues particularly relevant to medical data as well as wider issues relevant to any neural net application. The article is restricted to back-propagation learning in multilayer perceptrons, as this is the neural net model most widely used in medical applications. Key words: neural networks; medical decision making; pattern recognition; nonlinearity; error back-propagation; multi layer perceptron. (Med Decis Making 1996;16:386-398)

Suggested Citation

  • Will Penny & David Frost, 1996. "Neural Networks in Clinical Medicine," Medical Decision Making, , vol. 16(4), pages 386-398, October.
    • Handle: RePEc:sae:medema:v:16:y:1996:i:4:p:386-398
    DOI: 10.1177/0272989X9601600409
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X9601600409
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X9601600409?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paul S. Heckerling & Ben S. Gerber & Thomas G. Tape & Robert S. Wigton, 2003. "Prediction of Community-Acquired Pneumonia Using Artificial Neural Networks," Medical Decision Making, , vol. 23(2), pages 112-121, March.
    2. Nida Shahid & Tim Rappon & Whitney Berta, 2019. "Applications of artificial neural networks in health care organizational decision-making: A scoping review," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-22, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:16:y:1996:i:4:p:386-398. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.