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 …
above certain limits. Over the last years, machine and deep learning techniques have been …
[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 …
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 …
The oral glucose tolerance test: 100 years later
R Jagannathan, JS Neves, B Dorcely… - Diabetes, Metabolic …, 2020 - Taylor & Francis
For over 100 years, the oral glucose tolerance test (OGTT) has been the cornerstone for
detecting prediabetes and type 2 diabetes (T2DM). In recent decades, controversies have …
detecting prediabetes and type 2 diabetes (T2DM). In recent decades, controversies have …
Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective
Diabetes and its complications are seriously threatening the health and well-being of
hundreds of millions of people. Glucose levels are essential indicators of the health …
hundreds of millions of people. Glucose levels are essential indicators of the health …
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 …
Machine learning as a support for the diagnosis of type 2 diabetes
A Agliata, D Giordano, F Bardozzo, S Bottiglieri… - International Journal of …, 2023 - mdpi.com
Diabetes is a chronic, metabolic disease characterized by high blood sugar levels. Among
the main types of diabetes, type 2 is the most common. Early diagnosis and treatment can …
the main types of diabetes, type 2 is the most common. Early diagnosis and treatment can …
Investigating health-related features and their impact on the prediction of diabetes using machine learning
Diabetes Mellitus (DM) is one of the most common chronic diseases leading to severe
health complications that may cause death. The disease influences individuals, community …
health complications that may cause death. The disease influences individuals, community …
Feature-based machine learning model for real-time hypoglycemia prediction
Background: Hypoglycemia is a serious health concern in youth with type 1 diabetes (T1D).
Real-time data from continuous glucose monitoring (CGM) can be used to predict …
Real-time data from continuous glucose monitoring (CGM) can be used to predict …
A scoping review of artificial intelligence-based methods for diabetes risk prediction
The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health
complications highlight the need to develop predictive models for early diagnosis and …
complications highlight the need to develop predictive models for early diagnosis and …