IDEAS home Printed from https://ideas.repec.org/a/epw/ejmed0/v1y2019i1id40020.html

Presenting a Medical Expert System for Diagnosis and Treatment of Nephrolithiasis

Author

Listed:
  • Mirpouya Mirmozaffari

Abstract

Expert systems aim to employ expert skills for non-expert person. These designs simulate intellectual and practical performance of human making the performance of expert systems close to that of an expert human. Various expert systems have been proposed in medicine, thus this area is attracting attention. Most problems in modern medicine are very complicated and there is no logic reason for accurate decision making. To this end, doctors decide arbitrarily and variably. On the other hand, large volume of medical information makes decision making more difficult while modern technologies add to volume of information and make problems more difficult. Considering these problems, there is a great challenge in medical diagnosis which requires decision-making support systems. In this paper, an expert system is presented for diagnosis and treatment of nephrolithiasis in which knowledge required for diagnosis and treatment is stored as rules in the system knowledge base. If experts are absent, diagnosis and treatment can be done reliably. Expert systems can be used as decision support by the users. However, currently, they cannot replace experts.

Suggested Citation

  • Mirpouya Mirmozaffari, 2019. "Presenting a Medical Expert System for Diagnosis and Treatment of Nephrolithiasis," 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:40020
    DOI: 10.24018/ejmed.2019.1.1.20
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejmed/article/view/40020
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejmed/article/download/40020/8792
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejmed.2019.1.1.20?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
    ---><---

    References listed on IDEAS

    as
    1. Mirpouya Mirmozaffari, 2019. "Developing an Expert System for Diagnosing Liver Diseases," European Journal of Engineering and Technology Research, European Open Science, vol. 4(3), pages 1-5, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali Mirzapour, 2019. "A Psychology Expert System to Determine the Level of Stress in Subjects," European Journal of Medical and Health Sciences, European Open Science, vol. 1(2), June.
    2. Ali Aranizadeh & Iman Niazazari & Mirpouya Mirmozaffari, 2019. "A Novel Optimal Distributed Generation Planning in Distribution Network using Cuckoo Optimization Algorithm," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 3(3), April.
    3. Mirpouya Mirmozaffari & Gohar Azeem & Azam Boskabadi & Ali Aranizadeh & Aditya Vaishnav & Jithin John, 2020. "A Novel Improved Data Envelopment Analysis Model Based on SBM and FDH Models," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 4(3), May.
    4. Ali Aranizadeh & Mehrzad Kazemi & Homayoun Barahmandpour & Hamidreza Ahady Dolatsara, 2020. "AHP Decision Making Algorithm for Development of HVDC and EHVAC in Developing Countries," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 4(3), May.

    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:40020. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.