Victoria McGilligan

Orcid: 0000-0003-1013-3504

According to our database1, Victoria McGilligan authored at least 12 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications.
Artif. Intell. Medicine, 2022

2020
Computational time series analysis of patient referrals to a primary percutaneous coronary intervention service.
Health Informatics J., 2020

Improving the Detection of Acute Coronary Syndrome Using Machine Learning of Blood Biomarkers.
Proceedings of the Computing in Cardiology, 2020

Machine Learning to Predict 30 Days and 1-Year Mortality in STEMI and Turndown Patients.
Proceedings of the Computing in Cardiology, 2020

Towards Explainable Artificial Intelligence and Explanation User Interfaces to Open the 'Black Box' of Automated ECG Interpretation.
Proceedings of the Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications, 2020

2019
New models of atherosclerosis and multi-drug therapeutic interventions.
Bioinform., 2019

Interactive Technology to Aid Decision Making in Cardiac Care.
Proceedings of the 31st European Conference on Cognitive Ergonomics, 2019

Role of dashboards in improving decision making in healthcare: Review of the literature.
Proceedings of the 31st European Conference on Cognitive Ergonomics, 2019

Machine Learning Improves the Detection of Misplaced V1 and V2 Electrodes During 12-Lead Electrocardiogram Acquisition.
Proceedings of the 46th Computing in Cardiology, 2019

Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2016
Computational modelling of atherosclerosis.
Briefings Bioinform., 2016


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