Prediction of Chronic Disease by Enhanced VGG19 and Improve
Keywords:
Chronic Disease Prediction, Deep Learning, VGG19, ResNet50, Google Net, Hybrid Models, Ensemble Learning, Healthcare AI, Medical Imaging, Transfer LearningAbstract
The prevalence of chronic diseases—such as diabetes, cardiovascular conditions, andrespiratory disorders—continues to rise globally, creating significant challenges for healthcaresystems. Early prediction and intervention are vital for improving patient outcomes and
References
World Health Organization, "Noncommunicable diseases," Fact Sheet, 2021. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/noncommunicablediseases
Islam, R. and Siddique, A., "A comprehensive review for chronic disease prediction using machine learning algorithms," Journal of Electrical Systems and Information Technology, vol. 11, no. 27, 2024. Available: https://jesit.springeropen.com/articles/10.1186/s43067-024-00150-4
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Published
2024-05-20
How to Cite
Ms. Monali Vijay Gulhane ,Dr. T. Sajana ,Dr. Joshi Vilas Ramrao. (2024). Prediction of Chronic Disease by Enhanced VGG19 and Improve. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2326–2343. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3324
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