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 …

Artificial intelligence and biosensors in healthcare and its clinical relevance: A review

R Qureshi, M Irfan, H Ali, A Khan, AS Nittala, S Ali… - IEEE …, 2023 - ieeexplore.ieee.org
Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …

[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 …

Diabetes prediction using machine learning and explainable AI techniques

I Tasin, TU Nabil, S Islam… - Healthcare technology …, 2023 - Wiley Online Library
Globally, diabetes affects 537 million people, making it the deadliest and the most common
non‐communicable disease. Many factors can cause a person to get affected by diabetes …

[HTML][HTML] An assessment of machine learning models and algorithms for early prediction and diagnosis of diabetes using health indicators

V Chang, MA Ganatra, K Hall, L Golightly, QA Xu - Healthcare Analytics, 2022 - Elsevier
Breakthroughs in healthcare analytics can help both the doctor and the patient. Analytics in
healthcare can help spot and diagnose diseases early on. Therefore, they can also be used …

[HTML][HTML] An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI

HB Kibria, M Nahiduzzaman, MOF Goni, M Ahsan… - Sensors, 2022 - mdpi.com
Diabetes is a chronic disease that continues to be a primary and worldwide health concern
since the health of the entire population has been affected by it. Over the years, many …

Improving diabetes disease patients classification using stacking ensemble method with PIMA and local healthcare data

MS Reza, R Amin, R Yasmin, W Kulsum, S Ruhi - Heliyon, 2024 - cell.com
Diabetes mellitus, a chronic metabolic disorder, continues to be a major public health issue
around the world. It is estimated that one in every two diabetics is undiagnosed. Early …

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 …

Machine learning models for classification and identification of significant attributes to detect type 2 diabetes

KC Howlader, MS Satu, MA Awal, MR Islam… - … information science and …, 2022 - Springer
Abstract Type 2 Diabetes (T2D) is a chronic disease characterized by abnormally high blood
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …

Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring

E Yıldırım, M Cicioğlu, A Çalhan - Medical & Biological Engineering & …, 2023 - Springer
The new coronavirus disease (COVID-19) has increased the need for new technologies
such as the Internet of Medical Things (IoMT), Wireless Body Area Networks (WBANs), and …