At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study.

[BibT_eX]

[DOI]

Munib Mesinovic

Xin Ci Wong

Giri Shan Rajahram

Barbara Wanjiru Citarella

Kalaiarasu M. Peariasamy

Frank van Someren Greve

Piero Olliaro

Laura Merson

Lei A. Clifton

Christiana Kartsonaki

CoRR, 2023

Lightweight Transformers for Clinical Natural Language Processing.

[BibT_eX]

[DOI]

Omid Rohanian

Mohammadmahdi Nouriborji

CoRR, 2023

2017

Likelihood-based artefact detection in continuously-acquired patient vital signs.

[BibT_eX]

[DOI]

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

2015

Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2015

2014

Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2014

Probabilistic Novelty Detection With Support Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2014

Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2014

A review of novelty detection.

[BibT_eX]

[DOI]

Signal Process., 2014

Multi-task Gaussian process models for biomedical applications.

[BibT_eX]

[DOI]

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2013

Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2013

Modelling physiological deterioration in post-operative patient vital-sign data.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2013

An Extreme Function Theory for Novelty Detection.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2013

Probabilistic estimation of respiratory rate using Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2012

Gaussian process regression in vital-sign early warning systems.

[BibT_eX]

[DOI]

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Vital-sign Data Fusion Models for Post-operative Patients.

[BibT_eX]

Proceedings of the BIOSIGNALS 2012, 2012

2011

Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Federated Conference on Computer Science and Information Systems, 2011

Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data.

[BibT_eX]

Proceedings of the BIOSIGNALS 2011, 2011

2008

Automated Novelty Detection in Industrial Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008

2007

Combined Support Vector Novelty Detection for Multi-channel Combustion Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

2006

Support Vector Machine in Novelty Detection for Multi-channel Combustion Data.

[BibT_eX]

[DOI]

Lei A. Clifton

Hujun Yin

Yang Zhang

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Lei A. Clifton

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...