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Aaron J. Peace
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2020 – today
- 2022
- [j5]Khaled Rjoob, Raymond R. Bond, Dewar D. Finlay, Victoria McGilligan, Stephen J. Leslie, Ali Rababah
, Aleeha Iftikhar, Daniel Guldenring, Charles Knoery, Anne McShane, Aaron J. Peace
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications. Artif. Intell. Medicine 132: 102381 (2022) - 2020
- [j4]Aleeha Iftikhar
Computational time series analysis of patient referrals to a primary percutaneous coronary intervention service. Health Informatics J. 26(3): 2222-2236 (2020) - [c11]Khaled Rjoob, Raymond R. Bond, Dewar D. Finlay, Victoria McGilligan, Stephen J. Leslie, Ali Rababah
Towards Explainable Artificial Intelligence and Explanation User Interfaces to Open the 'Black Box' of Automated ECG Interpretation. AVI-BDA/ITAVIS@AVI 2020: 96-108 - [c10]Aleeha Iftikhar, Raymond R. Bond, Khaled Rjoob, Charles Knoery, Stephen J. Leslie, Anne McShane, Victoria McGilligan, Aaron J. Peace:
Machine Learning to Predict 30 Days and 1-Year Mortality in STEMI and Turndown Patients. CinC 2020: 1-4 - [c9]Khaled Rjoob, Victoria McGilligan, Raymond R. Bond, Steven Watterson
Improving the Detection of Acute Coronary Syndrome Using Machine Learning of Blood Biomarkers. CinC 2020: 1-4
2010 – 2019
- 2019
- [j3]Jonathan Currie, Raymond R. Bond
Wearable technology-based metrics for predicting operator performance during cardiac catheterisation. Int. J. Comput. Assist. Radiol. Surg. 14(4): 645-657 (2019) - [c8]Aleeha Iftikhar, Raymond R. Bond, Victoria McGilligan, Khaled Rjoob, Stephen J. Leslie, Charles Knoery, Anne McShane, Aaron J. Peace:
Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service. BIBM 2019: 1309-1314 - [c7]Aleeha Iftikhar, Raymond R. Bond, Victoria McGilligan, Khaled Rjoob, Charles Knoery, Stephen J. Leslie, Anne McShane, Aaron J. Peace:
Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service. BIBM 2019: 1315-1317 - [c6]Khaled Rjoob, Raymond R. Bond, Dewar D. Finlay, Victoria McGilligan, Stephen J. Leslie, Aleeha Iftikhar, Daniel Guldenring, Ali Rababah
Machine Learning Improves the Detection of Misplaced V1 and V2 Electrodes During 12-Lead Electrocardiogram Acquisition. CinC 2019: 1-4 - [c5]Aleeha Iftikhar, Raymond R. Bond, Victoria McGilligan, Anne McShane, Aaron J. Peace:
Interactive Technology to Aid Decision Making in Cardiac Care. ECCE 2019: 10-13 - [c4]Aleeha Iftikhar, Raymond R. Bond, Victoria McGilligan, Stephen J. Leslie, Khaled Rjoob, Charles Knoery, Aaron J. Peace:
Role of dashboards in improving decision making in healthcare: Review of the literature. ECCE 2019: 215-219 - 2018
- [j2]Jonathan Currie, Raymond R. Bond
Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level. IEEE Trans. Hum. Mach. Syst. 48(2): 113-124 (2018) - 2017
- [c3]Andrew W. Cairns, Raymond R. Bond
Parsing HL7 aECG Files and Segmenting Leads for Interactive Progressive-based Interpretation of the 12-Lead Electrocardiogram. CinC 2017 - 2016
- [j1]Andrew W. Cairns, Raymond R. Bond
A computer-human interaction model to improve the diagnostic accuracy and clinical decision-making during 12-lead electrocardiogram interpretation. J. Biomed. Informatics 64: 93-107 (2016) - [c2]Jonathan Currie, Raymond R. Bond, Paul J. McCullagh, Pauline Black, Dewar D. Finlay, Aaron J. Peace:
An Eye-Tracking Assessment of Coronary Care Nurses during the Interpretation of Patient Monitoring Scenarios. CinC 2016 - 2015
- [c1]Andrew W. Cairns, Raymond R. Bond
Interactive Progressive-based Approach to Aid the Human Interpretation of the 12-lead Electrocardiogram. CinC 2015: 197-200
Coauthor Index
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