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Developing An App For Diaognosis Of Diabetes For Mobile Based System Using Knowledge Base

Authors: Dr.M.P.Vani Associate Professor*, Sangamithra. A;

Developing An App For Diaognosis Of Diabetes For Mobile Based System Using Knowledge Base

Abstract

Aim: To develop an App for diagnosing diabetes using Mobile and giving awareness to the people in rural area and saving them from going to chronic stage. Materials and Methods: user Agent will have user-id and password which will be associated with the user knowledge base, to check if the patient is new patient or old patient, this will be identified with the help of username and password, if he is a new patient he will not have username and password he has to register freshly, as new user is taken care by the knowledge base. In case he happens to be a old patient he will be identified by his existing username and password and will be linked to the patient agent. Results: Clinical examination for 24 hrs water balance and urine volume, report will be provided. Water Deprivation Test (for upto7 hrs) will be delivered, and Desmopression challenge test will be predicted. Later categorization of Type-I and Type-II Diagnostic result, gestational and chronic stage will also be told. Conclusion: This app is very beneficial to the doctor to diagnose the patient from remote and treat the rural people at remote. The rural people are benefited by getting consultation and treatment with the same doctor of their choice without wasting their travel time, as well as illness remains in control

Keywords

Deprivation, Desmopressin, Diagnostic, gestational, Diabetes, Knowledge Base

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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