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Presenting a Medical Expert System for Diagnosis and Treatment of Nephrolithiasis

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  • Mirpouya Mirmozaffari

    (Gainforte School of Computing, Montana State University, Bozeman, USA.)

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
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