Machine learning-based diabetes prediction: A comprehensive study on predictive modeling and risk assessment

The hallmark of diabetes, a long-term metabolic disease, is hyperglycemia brought on by insulin failure. Its rising prevalence around the world emphasizes the necessity of precise and effective forecast techniques. By examining medical data, Machine Learning (ML) has demonstrated potential in the diagnosis and prognosis of diabetes.

Authors

Publication Details

Journal
Journal of Clinical Images and Medical Case Reports
Published
2025-05-05
DOI
https://doi.org/10.52768/2766-7820/3578
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.94
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article

Machine learning-based diabetes prediction: A comprehensive study on predictive modeling and risk assessment

Yalda Ghazizadeh
1 citations
Journal of Clinical Images and Medical Case Reports
Artificial Intelligence in Healthcare
2.94
article

Machine learning-based diabetes prediction: A comprehensive study on predictive modeling and risk assessment

Yalda Ghazizadeh
article en
1 citations

Abstract

The hallmark of diabetes, a long-term metabolic disease, is hyperglycemia brought on by insulin failure. Its rising prevalence around the world emphasizes the necessity of precise and effective forecast techniques. By examining medical data, Machine Learning (ML) has demonstrated potential in the diagnosis and prognosis of diabetes.

Journal of Clinical Images and Medical Case ReportsVol. 6(5)
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare
2.94
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Machine learning-based diabetes prediction: A comprehensive study on predictive modeling and risk assessment — Yalda Ghazizadeh · Journal of Clinical Images and Medical Case Reports (2025) | TGRS Research Map | TGRS