Need for an Artificial Intelligence-based Diabetes Care Management System in India and the United States

V Mayya, RN Kandala, V Gurupur… - Health Services …, 2024 - journals.sagepub.com
Objective Diabetes mellitus is an important chronic disease that is prevalent around the
world. Different countries and diverse cultures use varying approaches to dealing with this …

[HTML][HTML] Optimizing machine learning algorithms for diabetes data: A metaheuristic approach to balancing and tuning classifiers parameters

HA Aliyu, IO Muritala, H Bello-Salau, S Mohammed… - Franklin Open, 2024 - Elsevier
Diabetes mellitus poses a global health concern, prompting the development of machine
learning algorithms designed to construct a model for the accurate classification of patients …

Evaluating Machine Learning Algorithms for Early Detection of GDM

O Al-Azzawi, S Kurnaz - 2024 International Congress on …, 2024 - ieeexplore.ieee.org
Through the use of the Gestational Diabetes Mellitus (GDM) Data Set, this research
conducts an in-depth analysis of machine learning methods for the early diagnosis of GDM …

Comparing hyperparameter optimized support vector machine, multi-layer perceptron and bagging classifiers for diabetes mellitus prediction.

NA Yatoo, IS Ali, I Mirza - International Journal of Electrical & …, 2024 - search.ebscohost.com
Diabetes mellitus (DM) is a chronic metabolic disorder that affects the way the body
processes blood glucose levels. Within the medical field, machine learning (ML) has …

A novel framework for multiple disease prediction in telemedicine systems using deep learning

DR Unnithan, JR Jeba - Automatika, 2024 - Taylor & Francis
Telemedicine systems are gaining popularity due to their ability to provide remote medical
services. These systems produce a lot of data, which may be used for a variety of purposes …

Elevating Disease Prediction: A Stacking Ensemble Learning Approach

T Kavitha, K Trivikram, S Shashank… - 2024 Third …, 2024 - ieeexplore.ieee.org
Timely and accurate disease diagnosis is critical for effective treatment and cost reduction.
This project develops a web app utilizing machine learning to predict diseases from user …

Exploration of Machine Learning Methods in Medical Disease Prediction: A Systematic Literature Review

RS Nurhalizah, H Jayusman - Journal of Advanced Health …, 2023 - ejournal.ptti.web.id
Abstract Exploration of Machine Learning methods in the systematic literature shows
successful applications in disease diagnosis, disease prediction, and treatment planning …

Predicting Type 2 Diabetes Using Machine Learning and Flask Web Framework

BK Gangu, A Ganta, VS Gedela - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
Type 2 diabetes, considered a serious global health problem, is known for its broad
prevalence and severe consequences. The vital requirement for early detection and …

Diabetes prediction utilizing soft voting classifier

E Akkur - Journal of Computer & Electrical and Electronics …, 2024 - journal-jceees.com
Diabetes is one of the dangerous diseases that bring about abnormalities in blood sugar
levels. Early treatment can mitigate the negative consequences of this disease. Machine …

Survey paper on machine learning algorithms for diabetes prediction

R Sreedharan, B Parkavi - Proceeding of …, 2024 - prosiding-icostec.respati.ac.id
A long-standing ill health which straight away attacks the pancreas, and the body doesn't
have the ability to produce insulin is diabetes. Insulin is principally important to perpetuate …