Early detection of diabetes mellitus using feature selection and fuzzy support vector machine

RB Lukmanto, A Nugroho, H Akbar - Procedia Computer Science, 2019 - Elsevier
The number of patients that were infected by Diabetes Mellitus (DM) has reached 415
million patients in 2015 and by 2040 this number is expected to increase to approximately …

[PDF][PDF] Diabetes prediction using feature selection and classification

KK Gandhi, NB Prajapati - International journal of advance …, 2014 - academia.edu
Medical data mining is becoming increasingly important in healthcare. The diversity of
medical data collected/stored for diagnosis and prognosis and the availability of widespread …

[HTML][HTML] Efficient prediction of early-stage diabetes using XGBoost classifier with random forest feature selection technique

S Gündoğdu - Multimedia Tools and Applications, 2023 - Springer
Diabetes is one of the most common and serious diseases affecting human health. Early
diagnosis and treatment are vital to prevent or delay complications related to diabetes. An …

Data mining classification techniques for diabetes prediction

HR Abdulqadir, AM Abdulazeez… - Qubahan Academic …, 2021 - journal.qubahan.com
Diabetes may be predicted and prevented by exploring critical diabetes characteristics by
computational data extraction methods. This study proposed a system biology approach to …

GA_RBF NN: a classification system for diabetes

DK Choubey, S Paul - International Journal of Biomedical …, 2017 - inderscienceonline.com
The modern society is prone to many life-threatening diseases, which if diagnosed early,
can be easily controlled. The implementation of a disease diagnostic system has gained …

[PDF][PDF] GA_MLP NN: a hybrid intelligent system for diabetes disease diagnosis

DK Choubey, S Paul - International Journal of Intelligent Systems …, 2016 - mecs-press.net
Diabetes is a condition in which the amount of sugar in the blood is higher than normal.
Classification systems have been widely used in medical domain to explore patient's data …

A diabetic disease prediction model based on classification algorithms

R Ahuja, SC Sharma, M Ali - Annals of Emerging Technologies in …, 2019 - papers.ssrn.com
Diabetes is one of the chronic diseases in the world, 246 million people are inflicted by this
disease and according to a World Health Organisation (WHO) report, this figure will increase …

[HTML][HTML] Artificial intelligence-based learning techniques for diabetes prediction: challenges and systematic review

S Kaul, Y Kumar - SN Computer Science, 2020 - Springer
Diabetes is one of the most deadly and chronic diseases which cause an increase in blood
sugar. If diabetes remains untreated and unidentified many difficulties may arise due to that …

[HTML][HTML] A fuzzy rule-based system for classification of diabetes

KM Aamir, L Sarfraz, M Ramzan, M Bilal, J Shafi… - Sensors, 2021 - mdpi.com
Diabetes is a fatal disease that currently has no treatment. However, early diagnosis of
diabetes aids patients to start timely treatment and thus reduces or eliminates the risk of …

A comparative study of different machine learning tools in detecting diabetes

P Ghosh, S Azam, A Karim, M Hassan, K Roy… - Procedia Computer …, 2021 - Elsevier
A significant proportion of people around the world are currently suffering from the harmful
effects of diabetes and a considerable number of them not being identified at an early stage …