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Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
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 …
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 …
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
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 …
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
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 …
disease. On time and efficient identification of heart disease plays a key role in healthcare …
Prediction of chronic kidney disease-a machine learning perspective
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 …
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 …
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
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 …
risk of long-term complications including heart disease, and kidney failure among others …
Diabetes detection based on machine learning and deep learning approaches
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 …
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
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 …
largely exploited to spread misinformation and fake news that make people believing in …
Machine learning for healthcare-iot security: A review and risk mitigation
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 …
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …