[HTML][HTML] Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review

J Chaki, ST Ganesh, SK Cidham… - Journal of King Saud …, 2022 - Elsevier
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …

[HTML][HTML] Artificial intelligence for diabetes management and decision support: literature review

I Contreras, J Vehi - Journal of medical Internet research, 2018 - jmir.org
Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …

Classification of diabetes using feature selection and hybrid Al-Biruni earth radius and dipper throated optimization

AA Alhussan, AA Abdelhamid, SK Towfek, A Ibrahim… - Diagnostics, 2023 - mdpi.com
Introduction: In public health, machine learning algorithms have been used to predict or
diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached …

Diagnosis of diabetes mellitus using gradient boosting machine (LightGBM)

DD Rufo, TG Debelee, A Ibenthal, WG Negera - Diagnostics, 2021 - mdpi.com
Diabetes mellitus (DM) is a severe chronic disease that affects human health and has a high
prevalence worldwide. Research has shown that half of the diabetic people throughout the …

Machine learning and smart devices for diabetes management: Systematic review

MA Makroum, M Adda, A Bouzouane, H Ibrahim - Sensors, 2022 - mdpi.com
(1) Background: The use of smart devices to better manage diabetes has increased
significantly in recent years. These technologies have been introduced in order to make life …

AI-assisted decision-making in healthcare: the application of an ethics framework for big data in health and research

T Lysaght, HY Lim, V Xafis, KY Ngiam - Asian Bioethics Review, 2019 - Springer
Artificial intelligence (AI) is set to transform healthcare. Key ethical issues to emerge with this
transformation encompass the accountability and transparency of the decisions made by AI …

[HTML][HTML] Quality, usability, and effectiveness of mHealth apps and the role of artificial intelligence: current scenario and challenges

A Deniz-Garcia, H Fabelo… - Journal of Medical …, 2023 - jmir.org
The use of artificial intelligence (AI) and big data in medicine has increased in recent years.
Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both …

Digital diabetes: Perspectives for diabetes prevention, management and research

G Fagherazzi, P Ravaud - Diabetes & metabolism, 2019 - Elsevier
Digital medicine, digital research and artificial intelligence (AI) have the power to transform
the field of diabetes with continuous and no-burden remote monitoring of patients' …

Predicting the onset of diabetes with machine learning methods

CY Chou, DY Hsu, CH Chou - Journal of Personalized Medicine, 2023 - mdpi.com
The number of people suffering from diabetes in Taiwan has continued to rise in recent
years. According to the statistics of the International Diabetes Federation, about 537 million …

Role of ensemble deep learning for brain tumor classification in multiple magnetic resonance imaging sequence data

GS Tandel, A Tiwari, OG Kakde, N Gupta, L Saba… - Diagnostics, 2023 - mdpi.com
The biopsy is a gold standard method for tumor grading. However, due to its invasive nature,
it has sometimes proved fatal for brain tumor patients. As a result, a non-invasive computer …