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dc.contributor.authorWanzala, Jimmy Nabende
dc.contributor.authorAtim, Michael Robson
dc.contributor.authorObungoloch, Johnes
dc.date.accessioned2023-03-13T13:12:54Z
dc.date.available2023-03-13T13:12:54Z
dc.date.issued2023
dc.identifier.citationWanzala, J N, Atim, M R,Obungoloch, J (2023), Design and Simulation of a Physician-Based Fuzzy System for Ventilator Adjustments in ARDS Patients to Ensure Lung Protection;Advances in Fuzzy Systemsen_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/2808
dc.description.abstractThe acute respiratory distress syndrome patients largely need a mechanical ventilator intervention. There are procedures that have been developed to guide the physicians during the ventilation of the patient. Berlin definition of the acute respiratory distress syndrome has been developed with ventilator adjustment settings/procedures. The procedures may however be a challenge for some physicians to remember during the intense ventilator intervention. Physicians are found to make human errors that may lead to the death of the patient. This, therefore, calls for the need of a logic system that will reason for the physician, that is, guide the physician. A fuzzy logic system was used to build the fuzzy set rules based on the Berlin definition. The MATLAB Simulink was used to simulate the system. The results show that the fuzzy-based ARDS Berlin definition can guide the physician on the adjustments to be made during the ventilation.en_US
dc.language.isoen_USen_US
dc.publisherAdvances in Fuzzy Systemsen_US
dc.subjectFuzzy Systemen_US
dc.subjectARDS Patientsen_US
dc.subjectAcute respiratory distress syndrome patientsen_US
dc.subjectVentilationen_US
dc.titleDesign and Simulation of a Physician-Based Fuzzy System for Ventilator Adjustments in ARDS Patients to Ensure Lung Protectionen_US
dc.typeArticleen_US


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    These are different research articles about different Scholars as far as physics is concerned.

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