UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 10 Issue 11
November-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2311145


Registration ID:
527367

Page Number

b377-b389

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Title

Android Application for type 2 Diabetes Risk Prediction

Abstract

Developing an Android application for predicting the risk of type 2 diabetes holds considerable significance in the realm of public health. This application can offer early risk identification, empowering individuals to take proactive measures to reduce their risk of developing diabetes. By raising awareness about the disease and its risk factors, it encourages healthier lifestyles. Furthermore, the app can provide personalized recommendations, such as dietary and exercise guidelines, which can lead to healthier habits. It has the potential to lower healthcare costs by prompting early medical attention and lifestyle changes, ultimately reducing the financial burden associated with diabetes treatment and complications. Preventing complications is another critical aspect, as timely interventions can mitigate severe health issues. The aggregated data collected from the app can be valuable for research purposes, contributing to a deeper understanding of diabetes risk factors and prevention strategies. Additionally, it can support telemedicine integration, offer remote monitoring, and ensure targeted interventions for high-risk populations. The accessibility of Android apps ensures that diabetes risk assessment and prevention tools are readily available, ultimately improving the quality of life for users through education, engagement, and support. However, it is crucial to address ethical considerations, such as data privacy and informed consent, and collaborate with healthcare professionals to ensure the application's accuracy and effectiveness.

Key Words

: Risk prediction, Real-time Notification, Preventive Healthcare, Data Analytics, Scalability

Cite This Article

"Android Application for type 2 Diabetes Risk Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.b377-b389, November-2023, Available :http://www.jetir.org/papers/JETIR2311145.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Android Application for type 2 Diabetes Risk Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppb377-b389, November-2023, Available at : http://www.jetir.org/papers/JETIR2311145.pdf

Publication Details

Published Paper ID: JETIR2311145
Registration ID: 527367
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: b377-b389
Country: PUNE., MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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