Machine learning and deep learning predictive models for type 2 diabetes: a systematic review

L Fregoso-Aparicio, J Noguez, L Montesinos… - Diabetology & metabolic …, 2021 - Springer
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …

Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review

E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …

[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications

M Javaid, A Haleem, RP Singh, R Suman… - International Journal of …, 2022 - Elsevier
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

Heart disease identification method using machine learning classification in e-healthcare

JP Li, AU Haq, SU Din, J Khan, A Khan… - IEEE access, 2020 - ieeexplore.ieee.org
Heart disease is one of the complex diseases and globally many people suffered from this
disease. On time and efficient identification of heart disease plays a key role in healthcare …

Prediction of chronic kidney disease-a machine learning perspective

P Chittora, S Chaurasia, P Chakrabarti… - IEEE …, 2021 - ieeexplore.ieee.org
Chronic Kidney Disease is one of the most critical illness nowadays and proper diagnosis is
required as soon as possible. Machine learning technique has become reliable for medical …

Risk prediction of diabetes: big data mining with fusion of multifarious physical examination indicators

H Yang, Y Luo, X Ren, M Wu, X He, B Peng, K Deng… - Information …, 2021 - Elsevier
Diabetes is a global epidemic. Long-term exposure to hyperglycemia can cause chronic
damage to various tissues. Thus, early diagnosis of diabetes is crucial. In this study, we …

[HTML][HTML] Machine learning based diabetes prediction and development of smart web application

N Ahmed, R Ahammed, MM Islam, MA Uddin… - International Journal of …, 2021 - Elsevier
Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the
risk of long-term complications including heart disease, and kidney failure among others …

Diabetes detection based on machine learning and deep learning approaches

BF Wee, S Sivakumar, KH Lim, WK Wong… - Multimedia Tools and …, 2024 - Springer
The increasing number of diabetes individuals in the globe has alarmed the medical sector
to seek alternatives to improve their medical technologies. Machine learning and deep …

A hybrid linguistic and knowledge-based analysis approach for fake news detection on social media

N Seddari, A Derhab, M Belaoued, W Halboob… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid development of different social media and content-sharing platforms has been
largely exploited to spread misinformation and fake news that make people believing in …

Machine learning for healthcare-iot security: A review and risk mitigation

MA Khatun, SF Memon, C Eising, LL Dhirani - IEEE Access, 2023 - ieeexplore.ieee.org
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …