Machine learning reveals two main Parkinson's types and five subgroups

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, ...
IEEE

Used Car Price Prediction and Classification Using Machine Learning Approaches

Abstract: The used car market in Egypt faces challenges related to inflation and inconsistent seller pricing, often involving unrealistic prices set to attract potential buyers. This affects the ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Devdiscourse

Advanced AI can accurately predict future food demand trends

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Machine learning helps detect roars from lion collars without recording actual audio

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...