[HTML][HTML] A comparison of machine learning algorithms for diabetes prediction

JJ Khanam, SY Foo - Ict Express, 2021 - Elsevier
Diabetes is a disease that has no permanent cure; hence early detection is required. Data
mining, machine learning (ML) algorithms, and Neural Network (NN) methods are used in …

[Retracted] A Comprehensive Review of Various Diabetic Prediction Models: A Literature Survey

R Saxena, SK Sharma, M Gupta… - Journal of Healthcare …, 2022 - Wiley Online Library
Diabetes is a chronic disease characterized by a high amount of glucose in the blood and
can cause too many complications also in the body, such as internal organ failure …

A comparative study on machine learning based algorithms for prediction of motorcycle crash severity

L Wahab, H Jiang - PLoS one, 2019 - journals.plos.org
Motorcycle crash severity is under-researched in Ghana. Thus, the probable risk factors and
association between these factors and motorcycle crash severity outcomes is not known …

Prediction of type-2 diabetes mellitus disease using machine learning classifiers and techniques

BS Ahamed, MS Arya, AO Nancy V - Frontiers in Computer Science, 2022 - frontiersin.org
The technological advancements in today's healthcare sector have given rise to many
innovations for disease prediction. Diabetes mellitus is one of the diseases that has been …

Effective prediction of type ii diabetes mellitus using data mining classifiers and SMOTE

M Shuja, S Mittal, M Zaman - Advances in Computing and Intelligent …, 2020 - Springer
Diabetes is a metabolic disorder and currently is one of the most appalling diseases that
mankind is facing. In diabetic disease, the body does not properly respond to “insulin”, an …

A comparative study of machine learning models for COVID-19 prediction in India

V Bhadana, AS Jalal, P Pathak - 2020 IEEE 4th conference on …, 2020 - ieeexplore.ieee.org
Machine learning is commonly being used in every field. Forecasting systems based on
machine learning (ML) have shown their importance in interpreting perioperative effects to …

Implementation of logistic regression on diabetic dataset using train-test-split, k-fold and stratified k-fold approach

M Bhagat, B Bakariya - National Academy Science Letters, 2022 - Springer
Diabetes is a chronic metabolic disorder causing high blood sugars, that further severely
affect body parts like the heart, liver, kidneys, lungs, eyes, nerves, blood vessels etc. There …

Stacking classifier with random forest functioning as a meta classifier for diabetes diseases classification

M Ali, MN Haider, SA Lashari, W Sharif, A Khan… - Procedia Computer …, 2022 - Elsevier
Diabetes has been an offensive condition in recent years, and it can lead to major health
problems. If diabetes is not addressed, it can lead to a variety of health problems, including …

Application of machine learning models for early detection and accurate classification of type 2 diabetes

O Iparraguirre-Villanueva, K Espinola-Linares… - Diagnostics, 2023 - mdpi.com
Early detection of diabetes is essential to prevent serious complications in patients. The
purpose of this work is to detect and classify type 2 diabetes in patients using machine …

Analysis and prediction of diabetes disease using machine learning methods

S Samet, MR Laouar, I Bendib, S Eom - International Journal of …, 2022 - igi-global.com
To increase healthcare quality, early illness prediction helps patients prevent potentially life-
threatening health issues before it is too late. Artificial intelligence is a rapidly evolving area …