A Survey on Diabetes Mellitus Using Machine Learning Classifiers

Diabetes is a chronic illness problem that arises from insufficient insulin production or insufficient insulin use by the body. Most of causes of death, diabetes is linked to the interplay of lifestyle, psychosocial factors, medical problems, and risk factors that are hereditary and demographic. However, the evaluation measures and datasets used in each article vary when it comes to algorithms. It focuses on creating systems that do not require direct programming by automatically learning from data and gaining ideas to improve their performance. It enables systems to examine data, acquire experience, and make choices, allowing them to adjust and raise their level of performance over time. Health professionals, such as doctors, have benefited to assistance in treating, analysing, and diagnosing medical issues as well as identifying illness. This can assist patients in making an initial diagnosis of diabetes and is used by medical professionals as a resource.

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Publication Details

Published
2025-02-06
DOI
https://doi.org/10.1109/cictn64563.2025.10932388
Citations
4
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
11.75
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article

A Survey on Diabetes Mellitus Using Machine Learning Classifiers

Meena Pundir, Nidul Sinha, Paurav Goel
4 citations
Artificial Intelligence in Healthcare
11.75
article

A Survey on Diabetes Mellitus Using Machine Learning Classifiers

Meena Pundir, Nidul Sinha, Paurav Goel
article en
4 citations

Abstract

Diabetes is a chronic illness problem that arises from insufficient insulin production or insufficient insulin use by the body. Most of causes of death, diabetes is linked to the interplay of lifestyle, psychosocial factors, medical problems, and risk factors that are hereditary and demographic. However, the evaluation measures and datasets used in each article vary when it comes to algorithms. It focuses on creating systems that do not require direct programming by automatically learning from data and gaining ideas to improve their performance. It enables systems to examine data, acquire experience, and make choices, allowing them to adjust and raise their level of performance over time. Health professionals, such as doctors, have benefited to assistance in treating, analysing, and diagnosing medical issues as well as identifying illness. This can assist patients in making an initial diagnosis of diabetes and is used by medical professionals as a resource.

Chandigarh University (IN)
Openalex Percentile: Top 2%
Artificial Intelligence in Healthcare
11.75
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