The Lancet

Ethnic differences in Long COVID diagnosed in primary care in England (2020–2022): an observational cohort study using OpenSAFELY

dBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK ...
IEEE

Multimodal Learning Predicting Customer Engagement Across Social Platforms

Abstract: Customer engagement across social media platforms has become a critical indicator of brand visibility, customer loyalty, and digital marketing effectiveness. Social platforms generate highly ...
Journal of Medical Internet Research

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data

We developed a deep learning model incorporating contrastive pretraining with triplet margin loss to stabilise user-specific behavioural patterns, followed by supervised fine-tuning for binary ...
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 ...
IEEE

A Coupled Cellular Automata-Deep Learning-XGBoost for Land Use and Land Cover Change Prediction in Yancheng

Abstract: Accurate simulation of land use and land cover change (LUCC) is essential for understanding urban expansion and ecosystem evolution. However, existing models struggle to simultaneously ...