IDEAS home Printed from https://ideas.repec.org/a/epw/ejmed0/v1y2019i1id40016.html

Predicting Alzheimer's Disease Onset

Author

Listed:
  • Harold I. Zeliger

    (Zeliger Research and Consulting, USA)

Abstract

Recently, a method for assigning the probability of disease onset to all people, those clinically ill as well as those without prevalent disease has been described and termed the Oxidative Stress Index (OSI). The OSI, as originally formatted, does not predict which disease will more likely develop, only that further disease is predicted with increased OSI. It is hypothesized here that the OSI may be used to demonstrate which parameters are more contributory to the onset of a particular disease if it is measured at the time of onset of that disease. To test this hypothesis, the OSI has been reformatted to serve in that capacity for Alzheimer's disease (AD) with the anticipation that the OSI could serve to predict not only the likelihood of onset, but also identify those parameters that are most contributory to AD.

Suggested Citation

  • Harold I. Zeliger, 2019. "Predicting Alzheimer's Disease Onset," European Journal of Medical and Health Sciences, European Open Science, vol. 1(1), February.
  • Handle: RePEc:epw:ejmed0:v:1:y:2019:i:1:id:40016
    DOI: 10.24018/ejmed.2019.1.1.16
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejmed/article/view/40016
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejmed/article/download/40016/8794
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejmed.2019.1.1.16?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:epw:ejmed0:v:1:y:2019:i:1:id:40016. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejmed .

    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.