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DiaM- Integrated Mobile-Based Diabetes Management

Journal: International Journal of Emerging Trends in Engineering Research (IJETER) (Vol.9, No. 4)

Publication Date:

Authors : ;

Page : 470-478

Keywords : Artificial Intelligence (AI); Body Mass Index(BMI); Lifestyle; Artificial Neural Network (ANN); ManagementofDiabetes(MD); Web-of-Things (WOT);

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Abstract

Mobiletechnologyisshowingawideacceptancein the health-care system. As technology is changing there aremany health-care applications in the market. The need of theseapplicationsisincreasingdaybydaybecauseofunhealthylifestyle. Among the various ailments, the most common lifestyledisease is diabetes. As we know diabetes can't be cured, it canonly be controlled by managing one's lifestyle. In this paper, wepropose a new application DiaM for managing and mentoring adiabetic patient. DiaM is Artificial Intelligence (AI) based mobileapplicationwhichnotonlyconnecttomanageone'slifestylebut to build the strong will power. Our application has beendesigned in such a way that all the aspects are covered to manageone's lifestyle. We have implemented an AI based system whichsmartly categorizes the patients in different states, which utilizesthe different parameter like eating habit, stress, exercise, sleeptime,smoking,genetic,BMI,andvariousothersymptoms.Onthe basis of these states suggestions are been provided to thepatientforimprovingthelifestyle.DiaMalsoenablespatientto connect with the Doctor for monitoring and mentoring. Ourapplication provides real-time alerts to doctor so that they canmonitor patient anytime. It is extremely necessary to managehealthconditionsthereforeourapplicationprovidesabetter,accurateandsustainablehealth-caresystem

Last modified: 2021-04-13 15:05:31