[HTML][HTML] Peer reviewed: building risk prediction models for type 2 diabetes using machine learning techniques
Methods We analyzed cross-sectional data on 138,146 participants, including 20,467 with
type 2 diabetes, from the 2014 Behavioral Risk Factor Surveillance System. We built several …
type 2 diabetes, from the 2014 Behavioral Risk Factor Surveillance System. We built several …
Early detection of type 2 diabetes mellitus using machine learning-based prediction models
Most screening tests for T2DM in use today were developed using multivariate regression
methods that are often further simplified to allow transformation into a scoring formula. The …
methods that are often further simplified to allow transformation into a scoring formula. The …
A review on current advances in machine learning based diabetes prediction
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged
period in the body as it is not capable of using it properly. The severe complications …
period in the body as it is not capable of using it properly. The severe complications …
Evaluating the risk of type 2 diabetes mellitus using artificial neural network: an effective classification approach
C Wang, L Li, L Wang, Z Ping, MT Flory, G Wang… - Diabetes research and …, 2013 - Elsevier
AIM: To develop and evaluate an effective classification approach without biochemical
parameters to identify those at high risk of T2DM in rural adults. METHODS: A cross …
parameters to identify those at high risk of T2DM in rural adults. METHODS: A cross …
An ensemble approach to predict early-stage diabetes risk using machine learning: An empirical study
Diabetes is a long-lasting disease triggered by expanded sugar levels in human blood and
can affect various organs if left untreated. It contributes to heart disease, kidney issues …
can affect various organs if left untreated. It contributes to heart disease, kidney issues …
Machine learning models in type 2 diabetes risk prediction: results from a cross-sectional retrospective study in Chinese adults
X Xiong, R Zhang, Y Bi, W Zhou, Y Yu, D Zhu - Current medical science, 2019 - Springer
Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China,
especially in urban areas. Early prevention strategies are needed to reduce the associated …
especially in urban areas. Early prevention strategies are needed to reduce the associated …
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 …
Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes-ELSA-Brasil: accuracy study
ABSTRACT CONTEXT AND OBJECTIVE: Type 2 diabetes is a chronic disease associated
with a wide range of serious health complications that have a major impact on overall health …
with a wide range of serious health complications that have a major impact on overall health …
Predictive models for diabetes mellitus using machine learning techniques
H Lai, H Huang, K Keshavjee, A Guergachi… - BMC endocrine …, 2019 - Springer
Abstract Background Diabetes Mellitus is an increasingly prevalent chronic disease
characterized by the body's inability to metabolize glucose. The objective of this study was to …
characterized by the body's inability to metabolize glucose. The objective of this study was to …
Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records
Objective Diabetes is responsible for considerable morbidity, healthcare utilisation and
mortality in both developed and developing countries. Currently, methods of treating …
mortality in both developed and developing countries. Currently, methods of treating …