Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective

P Sadeghi, H Karimi, A Lavafian… - Expert Review of …, 2024 - Taylor & Francis
ABSTRACT Introduction Autoimmune disorders affect 4.5% to 9.4% of children, significantly
reducing their quality of life. The diagnosis and prognosis of autoimmune diseases are …

Hi-Le and HiTCLe: Ensemble Learning Approaches for Early Diabetes Detection using Deep Learning and eXplainable Artificial Intelligence

I Shaheen, N Javaid, N Alrajeh, Y Asim, S Aslam - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetes is a metabolic disease caused by the body's failure to use insulin or break down
meals correctly. Every year, an alarming number of new cases of diabetes are recorded. A …

Leveraging Machine Learning and Long-Short Term Memory Algorithm for Early Prediction of Diabetes

Y Pamungkas, MD Cahya, E Indriastuti - CogITo Smart Journal, 2024 - cogito.unklab.ac.id
Diabetes, a chronic condition, affects numerous populations. Poor insulin production from
the pancreas combined with high blood sugar levels can result in the onset of diabetes …

[PDF][PDF] Exploring the Influence of Patients' Heterogeneity on Automated Prediction of Glucose Levels in Type 1 Diabetes

AG Falcón, OB Legrán - orestibanos.com
This thesis explores the impact of patient heterogeneity, including factors such as gender,
age, and clinical conditions, on the performance of machine learning models in predicting …