A novel approach for feature selection and classification of diabetes mellitus: machine learning methods

R Saxena, SK Sharma, M Gupta… - Computational …, 2022 - Wiley Online Library
An active research area where the experts from the medical field are trying to envisage the
problem with more accuracy is diabetes prediction. Surveys conducted by WHO have shown …

[PDF][PDF] Prediction of diabetes disease using machine learning algorithms

M Panda, DP Mishra, SM Patro… - IAES International Journal …, 2022 - academia.edu
Diabetes mellitus is a powerful chronic disease, which is recognized by lack of capability of
our body for metabolization of glucose. Diabetes is one of the most dangerous diseases and …

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 …

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 …

Dataset and feature analysis for Diabetes Mellitus classification using random forest

F Mustofa, AN Safriandono, AR Muslikh… - Journal of …, 2023 - eprints.unmer.ac.id
: Diabetes Mellitus is a hazardous disease, and according to the World Health Organization
(WHO), diabetes will be one of the main causes of death by 2030. One of the most popular …

[PDF][PDF] Diabetes mellitus prediction using classification techniques

AS Hassan, I Malaserene, AA Leema - Int. J. Innov. Technol. Explor …, 2020 - academia.edu
Diabetes is a metabolic disease affecting people in almost every country and it may lead to
severe problems like stroke, kidney failure or premature death if it is not predicted at the …

Comparative analysis of machine learning techniques in prognosis of type II diabetes

A Sarwar, V Sharma - AI & society, 2014 - Springer
Artificial Intelligence (AI) is now a days gaining immense importance and is becoming a key
technology in many fields ranging from banking industry, to travel industry, to communication …

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 …

Performance analysis of classifier models to predict diabetes mellitus

JP Kandhasamy, S Balamurali - Procedia Computer Science, 2015 - Elsevier
Diabetes is one of the common and growing diseases in several countries and all of them
are working to prevent this disease at early stage by predicting the symptoms of diabetes …

[PDF][PDF] A comparative analysis on the evaluation of classification algorithms in the prediction of diabetes

R Patil, S Tamane - International Journal of Electrical and Computer …, 2018 - academia.edu
Data mining techniques are applied in many applications as a standard procedure for
analyzing the large volume of available data, extracting useful information and knowledge to …