805 citations
- University College LondonGB11 papers
- University of EdinburghGB9 papers
- King's College LondonGB7 papers
- South London and Maudsley NHS Foundation TrustGB5 papers
- The Alan Turing InstituteGB5 papers
- Universitat de BarcelonaES5 papers
- University of OxfordGB5 papers
- UCL Biomedical Research CentreGB4 papers
- Barts Health NHS TrustGB3 papers
- Centro de Investigación Biomédica en Red de Salud MentalES3 papers
- Janssen (United States)US3 papers
- KU LeuvenBE3 papers
6 papers · 1 filter
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang +28
A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an accepta…
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19
Helen Zhou, Cheng Cheng, Kelly J. Shields +4
With COVID-19 now pervasive, identification of high-risk individuals is crucial. Using data from a major healthcare provider in Southwestern Pennsylvania, we develop survival model…
An AI tool for automated analysis of large-scale unstructured clinical cine CMR databases
Jorge Mariscal-Harana, Clint Asher, Vittoria Vergani +9
Artificial intelligence (AI) techniques have been proposed for automating analysis of short axis (SAX) cine cardiac magnetic resonance (CMR), but no CMR analysis tool exists to aut…
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang +7
Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to…
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples
Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska +8
Multiplexed immunofluorescence provides an unprecedented opportunity for studying specific cell-to-cell and cell microenvironment interactions. We employ graph neural networks to c…
Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun +27
Gait is an essential manifestation of depression. Laboratory gait characteristics have been found to be closely associated with depression. However, the gait characteristics of dai…