Web-Based Software Development: Diabetes Mellitus Prediction

Diabetes mellitus is a chronic disease that has become a serious global health problem. The high prevalence of diabetes mellitus and the lack of public awareness of the risk of diabetes are serious problems. Early detection and prevention of this disease are important. However, early detection is often not optimized. The development of information and communication technology causes the use of technologies such as machine learning and web-based applications to be a potential solution to increase public awareness of the risks and early detection of diabetes mellitus. Therefore, this research develops a web-based diabetes mellitus prediction application using machine learning technology with history and advice features that can be used as a health assistant for the general public regarding their diabetes risk.

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Publication Details

Journal
Engineering headway
Published
2025-10-13
DOI
https://doi.org/10.4028/p-ey4cev
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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Web-Based Software Development: Diabetes Mellitus Prediction

Lukman Heryawan, Dimas Ardy Firmansyah, Muhammad Cahaya Saputra, Gregorius Adi Pradana et al.
Engineering headway
Artificial Intelligence in Healthcare
article

Web-Based Software Development: Diabetes Mellitus Prediction

Lukman Heryawan, Dimas Ardy Firmansyah, Muhammad Cahaya Saputra, Gregorius Adi Pradana, Merisa Adha Azzahra
article en

Abstract

Diabetes mellitus is a chronic disease that has become a serious global health problem. The high prevalence of diabetes mellitus and the lack of public awareness of the risk of diabetes are serious problems. Early detection and prevention of this disease are important. However, early detection is often not optimized. The development of information and communication technology causes the use of technologies such as machine learning and web-based applications to be a potential solution to increase public awareness of the risks and early detection of diabetes mellitus. Therefore, this research develops a web-based diabetes mellitus prediction application using machine learning technology with history and advice features that can be used as a health assistant for the general public regarding their diabetes risk.

Engineering headwayVol. 27
Universitas Gadjah Mada (ID), ADA University (AZ)
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare
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