Towards Personalized AI-Based Diabetes Therapy: A Review

Campanella, Sara; Paragliola, Giovanni; Cherubini, Valentino; Pierleoni, Paola; Palma, Lorenzo

doi:10.1109/jbhi.2024.3443137

IEEE J. Biomed. Health Inform.

2024

DOI: 10.1109/jbhi.2024.3443137

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Towards Personalized AI-Based Diabetes Therapy: A Review

Sara Campanella,

Giovanni Paragliola,

Valentino Cherubini

et al.

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2025

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Cited by 1 publication

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Data Visualisation Models for Analytics Use Artificial Intelligence to Predict Diabetes in Women

Almngoshi,

Kanaka Ratnam

et al. 2025

JMC

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Identifying and classifying diabetes problems among women can be achieved using several Machine Learning (ML) algorithms. This paper additionally includes a summary of the evaluation of the performance of these MLs with algorithms on many different classification metrics. The AUC-ROC score is the best for Extreme Gradient Boost (XGB) with 85%, followed by SVM and Decision Trees (DT). Logistic Regression (LR) is showing low performance. However, the DT and XGB show promising performance against all the classification metrics. However, the SVM shows a lower support value; hence, it cannot be claimed to be a precious classifier. A study reveals that women are four times more susceptible to diabetic conditions than men. But the healthcare systems do not give special attention to diabetic conditions in women. This study proposes to predict the probability of diabetes in females based on numerous medical conditions they may have. The ML accurately predicts diabetic complications based on biological conditions such as blood glucose levels, age, Body Mass Index (BMI), numerous pregnant women, and other factors.

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Data Visualisation Models for Analytics Use Artificial Intelligence to Predict Diabetes in Women

Almngoshi,

Kanaka Ratnam

et al. 2025

JMC

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Towards Personalized AI-Based Diabetes Therapy: A Review

Cited by 1 publication

References 124 publications

Data Visualisation Models for Analytics Use Artificial Intelligence to Predict Diabetes in Women

Data Visualisation Models for Analytics Use Artificial Intelligence to Predict Diabetes in Women

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