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Chloë Siegele-Brown

6PUBLICATIONS

32CO-AUTHORS

Context learningSensory processes, perception and performanceConcurrency theoryMedical devicesLearning, motivation and emotion

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Publications (6)

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|Apr 27, 2024

A smoking cessation smartphone app that delivers real-time 'context aware' behavioural support: the Quit Sense feasibility RCT.

Felix Naughton, Aimie Hope, Chloë Siegele-Brown

|May 01, 2023

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study.

Jing Han, Marco Montagna, Andreas Grammenos

|Dec 18, 2022

Testing to sustain hepatitis C elimination targets in people who inject drugs: A network-based model.

Chloë Siegele-Brown, Martin Siegele-Brown, Charlotte Cook

|Jun 02, 2022

Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation.

Ting Dang, Jing Han, Tong Xia

|Jan 25, 2020

Machine learning detection of Atrial Fibrillation using wearable technology.

Mark Lown, Michael Brown, Chloë Brown

|Sep 18, 2016

A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study.

Felix Naughton, Sarah Hopewell, Neal Lathia

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Frequent Collaborators

4 joint publications

Cecilia Mascolo

2 joint publications

Felix Naughton

2 joint publications

Jagmohan Chauhan

2 joint publications

Andreas Grammenos

2 joint publications

Erika Bondareva

2 joint publications

Stephen Sutton

2 joint publications

Dimitris Spathis

2 joint publications

Ting Dang

2 joint publications

Jing Han

2 joint publications

Tong Xia

Frequent Collaborators

4 joint publications

Cecilia Mascolo

2 joint publications

Felix Naughton

2 joint publications

Jagmohan Chauhan

2 joint publications

Andreas Grammenos

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