Machine learning in medical applications: A review of state-of-the-art methods

M Shehab, L Abualigah, Q Shambour… - Computers in Biology …, 2022 - Elsevier
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 …

[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] 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 …

5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions

A Ahad, M Tahir, KLA Yau - IEEE access, 2019 - ieeexplore.ieee.org
Healthcare is undergoing a rapid transformation from traditional hospital and specialist
focused approach to a distributed patient-centric approach. Advances in several …

Reliable and resilient AI and IoT-based personalised healthcare services: A survey

N Taimoor, S Rehman - IEEE Access, 2021 - ieeexplore.ieee.org
Recent technological (eg, IoT, 5G), and economic (eg, UN 2030 Sustainable Development
Goals) developments have transformed the healthcare sector towards more personalized …

[HTML][HTML] Current techniques for diabetes prediction: review and case study

S Larabi-Marie-Sainte, L Aburahmah, R Almohaini… - Applied Sciences, 2019 - mdpi.com
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 …

Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier

A Prabha, J Yadav, A Rani, V Singh - Computers in Biology and Medicine, 2021 - Elsevier
In this work, a non-invasive diabetes mellitus detection system is proposed based on the
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

B Mohanta, P Das, S Patnaik - 2019 International conference on …, 2019 - ieeexplore.ieee.org
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 …

Voting Classification‐Based Diabetes Mellitus Prediction Using Hypertuned Machine‐Learning Techniques

Z Mushtaq, MF Ramzan, S Ali, S Baseer… - Mobile Information …, 2022 - Wiley Online Library
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 …

Predicting diabetes with multivariate analysis an innovative KNN-based classifier approach

BVVS Prasad, S Gupta, N Borah, R Dineshkumar… - Preventive …, 2023 - Elsevier
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 …