Machine and deep learning techniques for the prediction of diabetics: a review
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
Boosting diversity in regression ensembles
Ensemble methods, such as Bagging, Boosting, or Random Forests, often enhance the
prediction performance of single learners on both classification and regression tasks. In the …
prediction performance of single learners on both classification and regression tasks. In the …
Understanding random forests and overfitting: a visualization and simulation study
Random forests have become popular for clinical risk prediction modelling. In a case study
on predicting ovarian malignancy, we observed training c-statistics close to 1. Although this …
on predicting ovarian malignancy, we observed training c-statistics close to 1. Although this …
Predictive Model of Electronic Medical Record for Diabetic Nephropathy
S Palaur, RK Mahapatra, NK Rout… - … on Advancements in …, 2024 - ieeexplore.ieee.org
The Electronic Medical Record (EMR) is a digital platform where the entire patient's data
during treatment is recorded. From appointment to discharge, each tiny step is stored by a …
during treatment is recorded. From appointment to discharge, each tiny step is stored by a …
Cloud-Based Remote Monitoring and Management for Diabetic Patient Healthcare
S Thangam, DK Niranjan, K Chetan… - 2024 International …, 2024 - ieeexplore.ieee.org
The rising frequency of diabetes necessitates advanced technologies for timely monitoring,
enabling visionary operation. The proposed methodology introduces a new approach by …
enabling visionary operation. The proposed methodology introduces a new approach by …
Weighted Ensemble Classification System for Prediction of Diabetes Mellitus
G Phonsa, SP Tiwari, R Shanker - … Science Engineering and …, 2024 - books.google.com
Diabetes mellitus (DM) is a debilitating condition classified by persistently elevated blood
sugar levels that is quickly increasing in prevalence around the world. The body's failure to …
sugar levels that is quickly increasing in prevalence around the world. The body's failure to …
Risk Prediction of Diabetes Progression Using Big Data Mining with Multifarious Physical Examination Indicators
X Chen, S Zhou, L Yang, Q Zhong, H Liu… - Diabetes, Metabolic …, 2024 - Taylor & Francis
Purpose The purpose of this study is to explore the independent-influencing factors from
normal people to prediabetes and from prediabetes to diabetes and use different prediction …
normal people to prediabetes and from prediabetes to diabetes and use different prediction …