Fuzzy and Reflection in the Construction of a Medical Expert System

Кобринский, Б. А.

doi:10.4236/jsea.2020.132002

Cited by 5 publications

(1 citation statement)

References 24 publications

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“…Each of them has a set of attributes. One of the attributes is confidence factor (CF) which describes experts' confidence in how unambiguously symptoms, syndromes or both identify the disease in the range of 0 to 100% [3]. We used them in links, connecting concept types "Symptom", "Syndrome" and "Disease".…”

Section: The Development Of the Prototype Expert System For Gout Diag...mentioning

confidence: 99%

Prototype Expert System for Gout Diagnosis on an Outpatient Basis

Osmolovsky

Клименко

et al. 2023

Studies in Health Technology and Informatics

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Gout is a systemic disease that is caused by the deposition of monosodium urate crystals in various tissues which leads to inflammation in them. This disease is often misdiagnosed. It leads to the lack of adequate medical care and development of serious complications, such as urate nephropathy and disability. The current situation can be improved by optimizing the medical care provided to patients, which requires searching for new strategies in terms of diagnosis. One of these strategies is the development of an expert system for providing information assistance to medical specialists which was a purpose of this study. The developed prototype expert system for gout diagnosis has knowledge base including 1144 medical concepts and 5 640 522 links, intelligent knowledge base editor and software which helps practitioner make the final decision. It has sensitivity of 91,3% [95% CI, 89,1%-93,1%], specificity of 85,4% [95% CI, 82,9%-87,6%] and AUROC 0,954 [95% CI, 0,944-0,963].

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Section: The Development Of the Prototype Expert System For Gout Diag...mentioning

confidence: 99%