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Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review

Pir Bakhsh Khokhar,Carmine Gravino,Fabio Palomba

2024 · DOI: 10.48550/arXiv.2412.14736
arXiv.org · 1 Citations

TLDR

The review assesses the performance of ML algorithms like CNN, SVM, Logistic Regression, and XGBoost in predicting diabetes outcomes and emphasizes the importance of interdisciplinary collaboration and ethical considerations in ML-based diabetes prediction models.