Simple statistical method predicts landslide risk more accurately than classic method

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
AZoRobotics

Using Deep Learning to Predict Disease Progression in Chronic Illnesses

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
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.
Oak Ridge National Lab

A machine learning approach to quantify degradation of nuclear fuels and the effects of fission products

Nuclear fuel performance is critically dependent on understanding the evolution of fuel properties under operational conditions, a complex challenge driven by chemical changes and substantial ...
IEEE

Improving Accuracy of Diabetes Prediction Using Machine Learning Techniques and Clinical Data

Abstract: Diabetes is a chronic condition affecting millions of people globally, requiring early and accurate prediction to mitigate associated health risks. This study employed a Kaggle dataset with ...
IEEE

Diabetes Prediction Using Machine Learning Methods and Performance Analysis

Abstract: This study evaluated three machine learning algorithms in predicting a diabetes mellitus diagnosis using a publicly available health data set. The models developed and analyzed in this study ...
Frontiers

Development and comparison of machine learning models for predicting moderate-to-severe tinnitus in patients with hearing loss

Objective: Analyze the psychological and clinical factors of clinically significant tinnitus (THI score ≥38) in patients with hearing loss, construct predictive models based on four machine learning ...
Frontiers

Classification of angioedema types using decision tree modeling

Introduction: All angioedema (AE) presents with transient, localized swelling; however, the underlying causes, prognosis, and treatments vary significantly. Consequently, identifying a specific AE ...