IDEAS home Printed from https://ideas.repec.org/h/tkp/mklp13/1099-1106.html
   My bibliography  Save this book chapter

A Study of the Effects of Diabetes Control with Insulin Using an Artificial Neuromolecular System

Author

Listed:
  • Jongchen Chen

    (National Yunlin University of Science and Technology, Taiwan)

Abstract

Diabetes has been recognized a vital death cause in this century. However, diabetes control has not been very successful. This is because for a patient with diabetes, in addition to his/her physiological status, there are many factors that might affect the effectiveness of each individual treatment. Therefore, there is a great deal of difficulty in establishing a guideline to decide the appropriate dosage for a particular patient. In this paper a study on diabetes control with insulin using an artificial neuromolecular system (ANM) is introduced. Our data were collected from one of major hospitals in Taiwan. The data set was comprised of 191 records, which were partitioned into a training data set and a test data set. Our experimental results showed that the ANM system can effectively predict the occurrence of problems related to insulin dosage of bioartificial pancreas, with a satisfactory accuracy.

Suggested Citation

  • Jongchen Chen, 2013. "A Study of the Effects of Diabetes Control with Insulin Using an Artificial Neuromolecular System," Active Citizenship by Knowledge Management & Innovation: Proceedings of the Management, Knowledge and Learning International Conference 2013,, ToKnowPress.
    • Handle: RePEc:tkp:mklp13:1099-1106
    as

    Download full text from publisher

    File URL: http://www.toknowpress.net/ISBN/978-961-6914-02-4/papers/ML13-367.pdf
    File Function: full text
    Download Restriction: no
    File URL: http://www.toknowpress.net/ISBN/978-961-6914-02-4/MakeLearn2013.pdf
    File Function: Conference Programme
    Download Restriction: no
    ---><---

    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:tkp:mklp13:1099-1106. 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: Maks Jezovnik (email available below). General contact details of provider: http://www.toknowpress.net/proceedings/978-961-6914-02-4/ .

    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.