Machine learning and deep learning predictive models for type 2 diabetes: a systematic review

L Fregoso-Aparicio, J Noguez, L Montesinos… - Diabetology & metabolic …, 2021 - Springer
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …

Machine learning for diabetes clinical decision support: a review

A Tuppad, SD Patil - Advances in Computational Intelligence, 2022 - Springer
Type 2 diabetes has recently acquired the status of an epidemic silent killer, though it is non-
communicable. There are two main reasons behind this perception of the disease. First, a …

[HTML][HTML] Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective

CC Olisah, L Smith, M Smith - Computer Methods and Programs in …, 2022 - Elsevier
Abstract Background and Objective Diabetes mellitus is a metabolic disorder characterized
by hyperglycemia, which results from the inadequacy of the body to secrete and respond to …

Predictive modeling and analytics for diabetes using hyperparameter tuned machine learning techniques

SC Gupta, N Goel - Procedia Computer Science, 2023 - Elsevier
Accuracy of a classifier is important for the success of any prediction model. The more
accuracy a classifier possesses, the more robust the system is made on it. In this paper, a …

[HTML][HTML] Stacking ensemble approach to diagnosing the disease of diabetes

A Daza, CFP Sánchez, G Apaza-Perez, J Pinto… - Informatics in Medicine …, 2024 - Elsevier
Background Diabetes is a very common disease today and has acquired a worrying focus in
the field of public health globally, in fact, it is estimated that the number of people with …

Median-KNN Regressor-SMOTE-Tomek links for handling missing and imbalanced data in air quality prediction

W Chandra, B Suprihatin, Y Resti - Symmetry, 2023 - mdpi.com
The Air Quality Index (AQI) dataset contains information on measurements of pollutants and
ambient air quality conditions at certain location that can be used to predict air quality …

Learning from imbalanced data in healthcare: State-of-the-art and research challenges

D Roy, A Roy, U Roy - Computational Intelligence in Healthcare …, 2024 - Springer
Datasets associated with medical and healthcare domains are imbalanced in nature. An
imbalanced dataset refers to a classification dataset where the number of instances of a …

Chronic diseases prediction using machine learning with data preprocessing handling: a critical review

NG Ramadhan, W Maharani, AA Gozali - IEEE Access, 2024 - ieeexplore.ieee.org
According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …

Predictive Analysis of Diabetes‐Risk with Class Imbalance

AI ElSeddawy, FK Karim, AM Hussein… - Computational …, 2022 - Wiley Online Library
Diabetes type 2 (T2DM) is a common chronic disease, increasingly leading to many
complications and affecting vital organs. Hyperglycemia is the main characteristic caused by …

Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers

H Yousef, SF Feng, HF Jelinek - Scientific Reports, 2024 - nature.com
Type II diabetes mellitus (T2DM) is a rising global health burden due to its rapidly increasing
prevalence worldwide, and can result in serious complications. Therefore, it is of utmost …