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
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- UCL Biomedical Research CentreGB4 papers
- Barts Health NHS TrustGB3 papers
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q-bio.QM2022★ 45 cited
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…
q-bio.QM2022★ 21 cited
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…
q-bio.QM2019★ 78 cited
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning
Zina Ibrahim, Honghan Wu, Ahmed Hamoud +3
Current machine learning models aiming to predict sepsis from Electronic Health Records (EHR) do not account for the heterogeneity of the condition, despite its emerging importance…