64 citations
- University College LondonGB3 papers
- Ames Research CenterUS1 paper
- California State University, FresnoUS1 paper
- Camden and Islington NHS Foundation TrustGB1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Community Science and Data CenterUS1 paper
- Eötvös Loránd UniversityHU1 paper
- European Southern ObservatoryCL1 paper
- Georgia State UniversityUS1 paper
- Health Data Research UKGB1 paper
- HUN-REN Research Centre for Astronomy and Earth SciencesHU1 paper
- Institute of AstronomyRU1 paper
6 papers
Large Language Model for Mental Health: A Systematic Review
Zhijun Guo, Alvina Lai, Johan Hilge Thygesen +3
Large language models (LLMs) have attracted significant attention for potential applications in digital health, while their application in mental health is subject to ongoing debat…
Long Term Evolution of Surface Features on the Red Supergiant AZ Cyg
Ryan P. Norris, Fabien R. Baron, John D. Monnier +23
We present H-band interferometric observations of the red supergiant (RSG) AZ Cyg made with the Michigan Infra-Red Combiner (MIRC) at the six-telescope Center for High Angular Reso…
The side effect profile of Clozapine in real world data of three large mental hospitals
Ehtesham Iqbal, Risha Govind, Alvin Romero +8
Objective: Mining the data contained within Electronic Health Records (EHRs) can potentially generate a greater understanding of medication effects in the real world, complementing…
Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease
Yan Li, Matthew Sperrin, Glen P. Martin +2
The objective is to assess the extent of variation of data quality and completeness of electronic health records and impact on the robustness of risk predictions of incident cardio…
Argument Harvesting Using Chatbots
Lisa A. Chalaguine, Anthony Hunter, Henry W. W. Potts +1
Much research in computational argumentation assumes that arguments and counterarguments can be obtained in some way. Yet, to improve and apply models of argument, we need methods…
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface
Haider Raza, Dheeraj Rathee, ShangMing Zhou +2
The non-stationary nature of electroencephalography (EEG) signals makes an EEG-based brain-computer interface (BCI) a dynamic system, thus improving its performance is a challengin…