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08/22/2023
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model
Language use has been shown to correlate with depression, but large-scal...
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08/03/2023
Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data
Digital Biomarkers and remote patient monitoring can provide valuable an...
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05/25/2021
Estimating Redundancy in Clinical Text
The current mode of use of Electronic Health Record (EHR) elicits text r...
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04/26/2021
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
The Bluetooth sensor embedded in mobile phones provides an unobtrusive, ...
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04/19/2021
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
This study investigates the potential of deep learning methods to identi...
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11/18/2020
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
The ability to perform accurate prognosis of patients is crucial for pro...
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10/02/2020
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit
Electronic health records (EHR) contain large volumes of unstructured te...
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09/27/2020
The Relationship between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multi-centre Longitudinal Observational Study
Research in mental health has implicated sleep pathologies with depressi...
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06/12/2020
Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset
Clinical coding is currently a labour-intensive, error-prone, but critic...
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04/29/2020
Using smartphones and wearable devices to monitor behavioural changes during COVID-19
In the absence of a vaccine or effective treatment for COVID-19, countri...
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03/10/2019
