Mark E. Larsen

According to our database, Mark E. Larsen authored at least 23 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Evaluating a Human Detection Model in a Behaviour Analysis Pipeline for Suicide Prevention.

Dharshiena S. Yogesan, Sandersan Onie, Ryan Anthony J. de Belen, Gary Beavan, Arcot Sowmya, Mark E. Larsen

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Towards Building a Visual Behaviour Analysis Pipeline for Suicide Detection and Prevention.

Xun Li, Sandersan Onie, Morgan Liang, Mark E. Larsen, Arcot Sowmya

Sensors, 2022

Region-Based Trajectory Analysis for Abnormal Behaviour Detection: A Trial Study for Suicide Detection and Prevention.

Xun Li, Ryan Anthony J. de Belen, Arcot Sowmya, Sandersan Onie, Mark E. Larsen

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021

Quantity and type of peer-reviewed evidence for popular free medical apps: Cross-sectional review.

David C. Wong, Khine Nwe, Ruth Evans, Natalie Nelissen, Mark E. Larsen

Int. J. Medical Informatics, 2021

Improved Spatio-temporal Action Localization for Surveillance Videos.

Morgan Liang, Xun Li, Sandersan Onie, Mark E. Larsen, Arcot Sowmya

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices.

Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Hung Nguyen, Duc Thanh Nguyen, John Yearwood, Dinh Quoc Phung, Svetha Venkatesh, Helen Christensen

Future Gener. Comput. Syst., 2020

2019

Using science to sell apps: Evaluation of mental health app store quality claims.

Mark E. Larsen, Kit Huckvale, Jennifer Nicholas, John Torous, Louise Birrell, Emily Li, Bill Reda

npj Digit. Medicine, 2019

Geospatial suicide clusters and emergency responses: An analysis of text messages to a crisis service.

Mark E. Larsen, Michelle Torok, Kit Huckvale, Bilal Reda, Sofian Berrouiguet, Helen Christensen

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content.

Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen

Dataset, November, 2018

The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content.

Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen

CoRR, 2018

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.

Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Apport de la fouille de données pour la prévention du risque suicidaire.

Romain Billot, Sofian Berrouiguet, Mark E. Larsen, Michel Walter, Jorge Lopez-Castroman, Enrique Baca-García, Philippe Courtet, Philippe Lenca

Proceedings of the Extraction et Gestion des Connaissances, 2018

2017

Using linguistic and topic analysis to classify sub-groups of online depression communities.

Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Multim. Tools Appl., 2017

Estimation of the prevalence of adverse drug reactions from social media.

Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Int. J. Medical Informatics, 2017

Kernel-based features for predicting population health indices from geocoded social media data.

Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Decis. Support Syst., 2017

Validation of a smartphone app to map social networks of proximity.

Tjeerd W. Boonstra, Mark E. Larsen, Samuel Townsend, Helen Christensen

CoRR, 2017

Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features.

Thin Nguyen, Duc Thanh Nguyen, Mark E. Larsen, Bridianne O'Dea, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Smartphone app to investigate the relationship between social connectivity and mental health.

Tjeerd W. Boonstra, Aliza Werner-Seidler, Bridianne O'Dea, Mark E. Larsen, Helen Christensen

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015

We Feel: Mapping Emotion on Twitter.

Mark E. Larsen, Tjeerd W. Boonstra, Philip J. Batterham, Bridianne O'Dea, Cécile Paris, Helen Christensen

IEEE J. Biomed. Health Informatics, 2015

Using Bluetooth Low Energy in smartphones to map social networks.

Samuel Townsend, Mark E. Larsen, Tjeerd W. Boonstra, Helen Christensen

CoRR, 2015

Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues.

Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

The use of technology in Suicide Prevention.

Mark E. Larsen, Nicholas Cummins, Tjeerd W. Boonstra, Bridianne O'Dea, Joe Tighe, Jennifer Nicholas, Fiona Shand, Julien Epps, Helen Christensen

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2011

Mobile health for drug dose optimisation.

Mark E. Larsen, Andrew Farmer, Andrew Weaver, Annie Young, Lionel Tarassenko

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011