A comparative analysis of early stage diabetes prediction using machine learning and deep learning approach

MAR Refat, M Al Amin, C Kaushal… - … and Control (ISPCC), 2021 - ieeexplore.ieee.org
Diabetes is a disease that affects how your body processes blood sugar and is often referred
to as diabetes mellitus. Insulin insufficiency and ineffective insulin use coincide when the …

Survey on clinical prediction models for diabetes prediction

N Jayanthi, BV Babu, NS Rao - Journal of Big Data, 2017 - Springer
Predictive analytics has gained a lot of reputation in the emerging technology Big data.
Predictive analytics is an advanced form of analytics. Predictive analytics goes beyond data …

[HTML][HTML] A framework for diagnosing kidney disease in diabetes patients using classification algorithms

KS Prasad, NCS Reddy, BN Puneeth - SN Computer Science, 2020 - Springer
Data mining algorithms are widely used to extract latent trends or patterns from databases.
They are used to predict unknown class labels in order to help in accurate decision making …

[HTML][HTML] Feature selection using grasshopper optimization algorithm in diagnosis of diabetes disease

SR Kamel, R Yaghoubzadeh - Informatics in Medicine Unlocked, 2021 - Elsevier
Diabetes signifies different types of metabolic diseases that cause high blood glucose, either
because of insufficient insulin production or because the body cells fail to respond to insulin …

Primary stage of diabetes prediction using machine learning approaches

MU Emon, MS Keya, MS Kaiser… - … and Smart Systems …, 2021 - ieeexplore.ieee.org
As per the report of the World Health Organization (WHO), diabetes has become one of the
rapidly expanding chronic diseases that has affected the life of 422 million people all over …

Optimized design of hybrid genetic algorithm with multilayer perceptron to predict patients with diabetes

OY Dweekat, SS Lam - Soft Computing, 2023 - Springer
Diabetes is a set of long-term metabolic issues characterized by high blood glucose levels
over a drawn-out time. It is a challenging and threatening disease because nearly half of …

[HTML][HTML] SMOTE-SMO-based expert system for type II diabetes detection using PIMA dataset

H Naz, S Ahuja - International Journal of Diabetes in Developing …, 2022 - Springer
Background Medical data, which is critical to human existence, is used to identify potential
people prone to any specific complication or disease by the application of appropriate data …

Uzun kısa dönem bellek ağlarını kullanarak erken aşama diyabet tahmini

İ Özer - Mühendislik Bilimleri ve Araştırmaları Dergisi, 2020 - dergipark.org.tr
Diyabet coğrafi ırksal veya etnik bağlamdan bağımsız, günümüzün en büyük sağlık
problemlerinden bir tanesidir. Son yıllarda diyabetli insan sayısı müthiş bir artış kaydetmiştir …

Predictive model for early detection of type 2 diabetes using patients' clinical symptoms, demographic features, and knowledge of diabetes

TA Ojurongbe, HA Afolabi, A Oyekale… - Health Science …, 2024 - Wiley Online Library
Abstract Background and Aims With the global rise in type 2 diabetes, predictive modeling
has become crucial for early detection, particularly in populations with low routine medical …

Makine öğrenmesi algoritmaları kullanarak erken dönemde diyabet hastalığı riskinin araştırılması

G Bilgin - Journal of Intelligent Systems: Theory and Applications, 2021 - dergipark.org.tr
Diabetes significantly affecting the quality of human life, the world and the incidence of a
disease in Turkey is increasingly important. In particular, it causes damage to the nervous …