204 citations
- King's College LondonGB9 papers
- University College LondonGB8 papers
- Parc Sanitari Sant Joan de DéuES6 papers
- Centro de Investigación Biomédica en Red de Salud MentalES5 papers
- Janssen (United States)US5 papers
- KU LeuvenBE5 papers
- UCL Biomedical Research CentreGB5 papers
- Universitat de BarcelonaES5 papers
- Health Data Research UKGB4 papers
- LAB University of Applied SciencesFI4 papers
- Amsterdam NeuroscienceNL3 papers
- Amsterdam University Medical CentersNL3 papers
9 papers
Unlocking Electronic Health Records: A Hybrid Graph RAG Approach to Safe Clinical AI for Patient QA
Samuel Thio, Matthew Lewis, Spiros Denaxas +1
Electronic health record (EHR) systems present clinicians with vast repositories of clinical information, creating a significant cognitive burden where critical details are easily…
Development of a Knowledge Graph Embeddings Model for Pain
Jaya Chaturvedi, Tao Wang, Sumithra Velupillai +2
Pain is a complex concept that can interconnect with other concepts such as a disorder that might cause pain, a medication that might relieve pain, and so on. To fully understand t…
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…
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…
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun +21
The Bluetooth sensor embedded in mobile phones provides an unobtrusive, continuous, and cost-efficient means to capture individuals' proximity information, such as the nearby Bluet…
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder
Judith Dineley, Grace Lavelle, Daniel Leightley +22
The ease of in-the-wild speech recording using smartphones has sparked considerable interest in the combined application of speech, remote measurement technology (RMT) and advanced…