Devdiscourse

Data-driven AI approach narrows diagnostic gap between dengue and chikungunya

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
European Medical Journal

AI Predicts Cardiometabolic Multimorbidity Risk in Type 2 Diabetes

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.
IEEE

Diabetes Prediction using Different Machine Learning Classifiers

Abstract: Diabetes mellitus is a prevalent global health concern, necessitating proactive approaches for early detection and intervention. This paper explores the application of diverse machine ...
BMJ

Development and validation of a machine learning-based prediction model for frailty in older adults with diabetes: a study protocol for a retrospective cohort study

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...
IEEE

Performance Metrices Analysis for Diabetes Prediction Using Machine Learning Algorithm

Abstract: Diabetes is the among of the chronic diseases which is every year the number of deaths increases to the diabetes patients. Despite the different ages, diabetes can either be inherited ...
Frontiers

Advanced Supervised Machine Learning Techniques for Accurate Prediction of Diabetes Mellitus Using Feature Selection

The final, formatted version of the article will be published soon. Background): Diabetes Mellitus (DM) is a chronic metabolic disorder that poses a significant global health challenge, affecting ...
Frontiers

Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction

Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...
Scientific Research Publishing

An Empirical Analysis on Renewable Energy: Biogas Production Prediction Using Machine Learning ()

1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...
Scientific Research Publishing

Chang, V., Sivakulasingam, S., Wang, H., Wong, S.T., Ganatra, M.A. and Luo, J. (2024) Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...