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Machine learning in medical applications: A review of state-of-the-art methods
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …
complex challenges in recent years in various application areas, such as medical, financial …
[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 …
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
[HTML][HTML] 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 …
prevalence worldwide. Research has shown that half of the diabetic people throughout the …
5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions
Healthcare is undergoing a rapid transformation from traditional hospital and specialist
focused approach to a distributed patient-centric approach. Advances in several …
focused approach to a distributed patient-centric approach. Advances in several …
Reliable and resilient AI and IoT-based personalised healthcare services: A survey
Recent technological (eg, IoT, 5G), and economic (eg, UN 2030 Sustainable Development
Goals) developments have transformed the healthcare sector towards more personalized …
Goals) developments have transformed the healthcare sector towards more personalized …
[HTML][HTML] Current techniques for diabetes prediction: review and case study
Diabetes is one of the most common diseases worldwide. Many Machine Learning (ML)
techniques have been utilized in predicting diabetes in the last couple of years. The …
techniques have been utilized in predicting diabetes in the last couple of years. The …
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier
In this work, a non-invasive diabetes mellitus detection system is proposed based on the
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
Healthcare 5.0: A paradigm shift in digital healthcare system using artificial intelligence, IOT and 5G communication
The induction of Artificial Intelligence (AI) concept with the application of smart intelligent
devices and adoption of high-speed data transmission networking techniques in healthcare …
devices and adoption of high-speed data transmission networking techniques in healthcare …
Voting Classification‐Based Diabetes Mellitus Prediction Using Hypertuned Machine‐Learning Techniques
Diabetes mellitus is a hyperglycemia‐like chronic condition that is a troublesome disease. It
is estimated that, according to the growing morbidity, by 2040, the world will cross 642 …
is estimated that, according to the growing morbidity, by 2040, the world will cross 642 …
Predicting diabetes with multivariate analysis an innovative KNN-based classifier approach
Diabetes seems to be a severe protracted disease or combination of biochemical disorders.
A person's blood glucose (BG) levels remain elevated for an extended period because …
A person's blood glucose (BG) levels remain elevated for an extended period because …