A Fibrosis Diagnosis Clinical Decision Support System Using Fuzzy Knowledge

Sweidan, Sara; El–Sappagh, Shaker; El-Bakry, Hazem M.; Sabbeh, Sahar F.; Badria, Farid A.; Kwak, Kyungsup

doi:10.1007/s13369-018-3670-8

Cited by 6 publications

(2 citation statements)

References 37 publications

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“…Earlier, our research team had presented the usefulness of AI and ML in diagnosis of several diseases [88][89][90]. However, COVID-19 diagnosis was based on AI.…”

Section: Diagnosticsmentioning

confidence: 99%

Perspective Chapter: Repurposing Natural Products to Target COVID-19 – Molecular Targets and New Avenues for Drug Discovery

Badria¹

2022

Antiviral Drugs - Intervention Strategies

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World Health Organization (WHO) declared on March 11, 2020, coronavirus disease, which erupted in December 19th, 2019 in Wuhan, China (COVID-19) as worldwide pandemic disease. Researchers worldwide were successful to provide a prophylactic approach via developing several vaccines, which were swiftly approved by WHO under Emergency Use Listing (EUL) status. So far, lopinavir, chloroquine, azithromycin, hydroxychloroquine, favipiravir, umifenovir, ribavirin, remdesivir, and darunavir have been tested clinically. Hydroxychloroquine, favipiravir, and chloroquine exhibited a high ratio of distribution for the lung and were reported to minimize viral tonnage in respiratory system of many COVID-19 cases. However, none of the tested drugs showed a conclusive, safe, and efficient activity against COVID-19. This prompted many experts in drug discovery to fetch in the treasure of many available old drugs of natural origin to repurpose based upon their well-studied pharmacology, pharmacodynamics, virtual screening, and artificial intelligence studies. In this review chapter, we will address the repurposing of natural products and their derivatives to be used in treatment of COVID-19 via targeting host cells machinery and viral proteins either in early stages by blocking virus entry to cells or lately through inhibition of viral replication.

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“…Earlier, our research team had presented the usefulness of AI and ML in diagnosis of several diseases [88][89][90]. However, COVID-19 diagnosis was based on AI.…”

Section: Diagnosticsmentioning

confidence: 99%

Perspective Chapter: Repurposing Natural Products to Target COVID-19 – Molecular Targets and New Avenues for Drug Discovery

Badria¹

2022

Antiviral Drugs - Intervention Strategies

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“…This article proposes DSS for the diagnosis of liver disease. The system includes a step of the disease staging based on a classification algorithm using fuzzy inference [1]. In this case, the decision about assigning a patient to one of the disease stages is formed on the input data of the system, represented as fuzzy variables.…”

Section: Introductionmentioning

confidence: 99%

Development of a medical expert system: disease staging by a fuzzy classifier

SEROBABOV

Denisova

2022

J. Phys.: Conf. Ser.

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The article considers an approach to the processing and analysis of biomedical data from clinical examination. An automated diagnosis system is presented to be applied in liver disease diagnosis by the results of the initial examination of patients using a classifier based on fuzzy inference. The research is carried out by modeling the proposed system in the environment MATLAB FuzzyLogic. The regularities are revealed making it possible to normalize the results of laboratory tests depending on gender characteristics and to increase the percentage of correctly determined disease stages.

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