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dc.contributor.authorPRASAD, AMANDEEP-
dc.date.accessioned2023-06-12T09:35:05Z-
dc.date.available2023-06-12T09:35:05Z-
dc.date.issued2023-06-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/19856-
dc.description.abstractDiabetes Mellitus is a chronic metabolic disorder1]. Blood glucose levels (BGLs) should be properly adjusted so that diabetic patients can live normal lives without the danger of developing major issues over time. However, for a variety of reasons, the majority of diabetic patients' blood glucose levels are not under good control[1]. Although it's necessary for diabetes patients to regulate their BGLs to follow the standard preventative measures like eating well and exercising, the most critical step in the healing process is taking the right dosage of insulin. In this paper, we propose an artificial neural network (ANN) based approach to forecast the ideal insulin dosage required for the diabetic patient]. Several patients' data sets containing various characteristics, including weight, fast blood sugar, and gender, were used to train and test the suggested model. The suggested model performed well in determining the right dosage of insulin.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-6415;-
dc.subjectINSULIN DOSAGE PREDICTIONen_US
dc.subjectDIABETES MELLITUSen_US
dc.subjectBLOOD GLUCOSE LEVELen_US
dc.subjectARTIFICIAL NEURAL NETWORKen_US
dc.titleAN EXPERT SYSTEM FOR INSULIN DOSAGE PREDICTIONen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Computer Engineering

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