A framework for the prediction of diabtetes mellitus using hyper-parameter tuned xgboost classifier

R Gayathri, PB Pati, T Singh… - 2022 13th International …, 2022 - ieeexplore.ieee.org
Diabetes Mellitus is caused by the increase of blood glucose level in the body. It is likely to
be the most common disease for the human community which is about 8.8% of the entire …

Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME

MM Islam, HR Rifat, MSB Shahid, A Akhter… - Engineering …, 2025 - Wiley Online Library
Diabetes is a chronic metabolic disease characterized by elevated blood glucose levels and
poses significant health risks, such as cardiovascular disease and cognitive damage …

[PDF][PDF] OPTIMIZING DIABETES DIAGNOSIS: ADGB WITH HYPERBAND FOR ENHANCED PREDICTIVE ACCURACY

S DONEPUDI, G SIRISHA… - Journal of Theoretical and …, 2024 - jatit.org
This study introduces an innovative machine-learning framework to enhance diabetes
prediction accuracy and model interpretability. The methodology begins with multiple …

An intelligent and precise method used for detecting gestational diabetes in the early stages

S Hameed, AB Ali - UHD Journal of Science and Technology, 2022 - journals.uhd.edu.iq
This paper suggests a Naive Bayes classifier technique for identifying and categorizing
gestational diabetes mellitus (GDM), GDM is a kind of diabetes mellitus that affects a small …

A Hybrid Model Focusing on Data Pre-Processing in Diabetes Diagnosis

F Zeidi, L Azar, V Arslan, Ç Erol - Cybernetics and Systems, 2023 - Taylor & Francis
Diabetes mellitus is a common and serious disease that has been studied by many
researchers. Pima Indians Diabetes Dataset is one of the most famous datasets in this field …

[PDF][PDF] An Exploratory Approach for Real-Time Blood Glucose Monitoring Using Non-Invasive Sensors for Reducing Impact of Community-Acquired Pneumonia

KM Abubeker - 2022 - scholar.archive.org
Purpose Every year, about 1.5 million people die from complications related to diabetes,
which affects both developing and developed countries alike. Patients with diabetes are …

[PDF][PDF] Mom Care: A smart medical app for pregnant women

O Dharmadasa, KMT Pushpamal, K Senevirathna… - 2023 - academia.edu
Pregnancy is a crucial time in a woman's life, and it needs routine monitoring of both the
mother and the fetus. In this research project, we propose" Mom Care," a smart medical app …