[HTML][HTML] Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis

H Thakkar, V Shah, H Yagnik, M Shah - Clinical eHealth, 2021 - Elsevier
Diabetes is an ailment in which glucose level increase in at high rates in blood due to body's
inability to metabolize it. This happens when body does not produce sufficient amount of …

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm

M Maniruzzaman, N Kumar, MM Abedin… - Computer methods and …, 2017 - Elsevier
Background and objective Diabetes is a silent killer. The main cause of this disease is the
presence of excessive amounts of metabolites such as glucose. There were about 387 …

Accuracy of machine learning classification models for the prediction of type 2 diabetes mellitus: A systematic survey and meta-analysis approach

MO Olusanya, RE Ogunsakin, M Ghai… - International Journal of …, 2022 - mdpi.com
Highlights We reviewed soft-computing and statistical learning methods for predicting type 2
diabetes mellitus. We searched for papers published between 2010 and 2021 on three …

DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values

Q Wang, W Cao, J Guo, J Ren, Y Cheng… - IEEE access, 2019 - ieeexplore.ieee.org
As a widely known chronic disease, diabetes mellitus is called a silent killer. It makes the
body produce less insulin and causes increased blood sugar, which leads to many …

Machine learning-based application for predicting risk of type 2 diabetes mellitus (t2dm) in saudi arabia: A retrospective cross-sectional study

AH Syed, T Khan - IEEE Access, 2020 - ieeexplore.ieee.org
Earlier detection of individuals at the highest risk of developing diabetes is crucial to avoid
the disease's prevalence and progression. Therefore, we aim to build a data-driven …

Deep convolutional neural network for diabetes mellitus prediction

SA Alex, JJV Nayahi, H Shine, V Gopirekha - Neural Computing and …, 2022 - Springer
As a widely known disease diabetes mellitus makes the human body produce quite less
hormone and also tend to cause increased glucose that results in abnormal metabolism of …

[HTML][HTML] Type 2: diabetes mellitus prediction using deep neural networks classifier

RK Nadesh, K Arivuselvan - International Journal of Cognitive Computing …, 2020 - Elsevier
Diabetes is a severe disease, most of the people are not aware of the risk associated with
the disease because of that people die due to diabetic nephropathy, cardiac stroke and …

[PDF][PDF] Prediction of diabetes mellitus using machine learning techniques

TA Asfaw - Int J Comput Engin Technol, 2019 - sdbindex.com
Diabetes mellitus is a common disease caused by a set of metabolic ailments where the
sugar stages over drawn-out period is very high. It touches diverse organs of the human …

Machine learning based early prediction of type 2 diabetes: A new hybrid feature selection approach using correlation matrix with heatmap and SFS

S Buyrukoğlu, A Akbaş - Balkan Journal of Electrical and Computer …, 2022 - dergipark.org.tr
A new hybrid machine learning method for the prediction of type 2 diabetes is introduced
and explained in detail. Also, outcomes are compared with similar researches. Early …

[PDF][PDF] Comparison of data mining algorithms in the diagnosis of type II diabetes

S Sa'di, A Maleki, R Hashemi, Z Panbechi… - … Science & Applications …, 2015 - academia.edu
Diabetes is one of the most prevalent diseases in the world today with high mortality and
morbidity rate, thus one of the biggest health problems in the world. There are many ways to …