Yatharth Ranjan
Software Developer and PhD student
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KCL Purehttps://kclpure.kcl.ac.uk/portal/en/persons/yatharth-ranjan(e2a93e62-5c7c-4442-b03b-f98544889bab).html
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ORCID iDhttps://orcid.org/0000-0003-3079-3120
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Google Scholarhttps://scholar.google.com/citations?user=wjcc6TYAAAAJ
BIOGRAPHY
Computer Scientist with keen interests in mHealth, mobile application development and streaming applications. I am currently working on developing the RADAR-CNS data collection platform. I am also enrolled in a part-time PhD which focusses on development of novel software and analytical solutions focussed on scalability, interoperability, precision and just-in-time remote collection and monitoring of mHealth data from smartphones and wearables in different disorder areas.
RESEARCH INTERESTS
mHealth; Machine Learning; Software Engineering; Distributed Systems; Data Integration; Data Analysis; Big Data; Just In time; Interoperability.
LATEST PUBLICATIONS
- Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study
- Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study
- Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings
- The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones
- Exploring the Effects of In-App Components on Engagement with a Symptom-Tracking Platform among Participants with Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial