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Khaled Rjoob, (PhD Researcher)

  • 2 Citations
  • 1 h-Index
20192020

Research output per year

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Research Output

2020

Computational Time Series Analysis of Patient Referrals to a Primary Percutaneous Coronary Intervention Service

Iftikhar, A., Bond, RR., McGilligan, V. E., Leslie, S. J., McShane, A., Knoery, C., Rjoob, K. & Peace, A., 24 Jan 2020, In : Health Informatics Journal. 15 p.

Research output: Contribution to journalArticle

Open Access
File
2 Downloads (Pure)

Near future artificial intelligence in interventional cardiology: new opportunities and challenges to improve the care of STEMI patients

Bond, RR., Rjoob, K., Finlay, D., McGilligan, V. E., Leslie, S. J., Knoery, C., Iftikhar, A., McShane, A., Tache, I. A., Biglarbeigi, P., Manktelow, M. & Peace, A., 31 Mar 2020, In : Journal of ESC Digital Health. 15 p.

Research output: Contribution to journalArticle

Open Access
File
24 Downloads (Pure)

Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service

Iftikhar, A., Bond, RR., McGilligan, V. E., Rjoob, K., Knoery, C., Leslie, S., McShane, A. & Peace, A., 6 Feb 2020, Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service. San Diego, CA, USA: IEEE Xplore, p. 1315-1317 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Systematic review of clinical decision support systems for pre-hospital acute coronary syndrome identification

Knoery, C., Heaton, J., Polson, R., Bond, RR., Iftikhar, A., Rjoob, K., McGilligan, V. E., Peace, A. & Leslie, S., 11 Mar 2020, In : Critical Pathways in Cardiology.

Research output: Contribution to journalArticle

Open Access
File
59 Downloads (Pure)

Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service

Iftikhar, A., Bond, RR., McGilligan, V. E., Rjoob, K., Leslie, S., Knoery, C., McShane, A. & Peace, A., 6 Feb 2020, Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service. San Diego, CA, USA: IEEE Xplore, p. 1309-1314 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2019

An exploratory analysis investigating blood protein biomarkers to augment ECG diagnosis of ACS

McGilligan, V. E., Watterson, S., Rjoob, K., El Chemaly, M., Bond, RR., Iftikhar, A., Knoery, C., Leslie, S., McShane, A. & Bjourson, AJ., 31 Dec 2019, In : Journal of Electrocardiology. 57, p. S92-S97

Research output: Contribution to journalArticle

Can blood biomarkers augment ECG interpretation?

McGilligan, V. E., Bond, RR., Watterson, S., Bjourson, AJ., Rjoob, K., Iftikhar, A., El Chemaly, M., Peace, A., Leslie, S. & Knoery, C., 1 May 2019.

Research output: Contribution to conferenceAbstract

Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12-lead electrocardiogram

Rjoob, K., Bond, RR., Finlay, D., McGilligan, V. E., Leslie, S. J., Iftikhar, A., Guldenring, D., Rababah, A., Knoery, C., McShane, A. & Peace, A., 1 Nov 2019, In : Journal of Electrocardiology. 57, p. 39-43 5 p.

Research output: Contribution to journalArticle

Early Prediction of Sepsis Considering Early Warning Scoring Systems

Biglarbeigi, P., McLaughlin, D., Rjoob, K., Abdullah, ., McCallan, N., Jasinska-Piadlo, A., Bond, RR., Finlay, D., Ng, K. Y., Kennedy, A. & McLaughlin, J., Sep 2019, Computing in Cardiology 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
1 Citation (Scopus)

Feature Engineering and Machine Learning for the Auto-Detection of Misplaced V1 and V2 Chest Electrodes when Recording 12-lead ECGs

Rjoob, K., Bond, RR., Finlay, D., McGilligan, V. E., Leslie, S. J., Iftikhar, A., Guldenring, D., Knoery, C. & Peace, A., 6 Dec 2019, In : Journal of Electrocardiology. p. S106

Research output: Contribution to journalMeeting Abstract

Open Access
File
2 Downloads (Pure)

Machine Learning Improves the Detection of Misplaced V1 and V2 Electrodes During 12-Lead Electrocardiogram Acquisition

Rjoob, K., Bond, RR., Finlay, D., McGilligan, V. E., Leslie, S., Iftikhar, A., Gueldenring, D., Rababah, A., Knoery, C. & Peace, A., 24 Sep 2019.

Research output: Contribution to conferencePaper

Open Access
File
17 Downloads (Pure)

Novel hybrid method for interpolating missing information in body surface potential maps

Rababah, A., Bond, RR., Rjoob, K., Guldenring, D., McLaughlin, J. & Finlay, D., 5 Sep 2019, In : Journal of Electrocardiology. 57, p. S51-S55 5 p.

Research output: Contribution to journalArticle

Performance of a computer model to detect misplaced V1 and V2 electrodes on the 12-lead ECG for three dfifferent types of patients

Rjoob, K., Bond, RR., Finlay, D., McGilligan, V. E., Leslie, S., Iftikhar, A., Gueldenring, D., Knoery, C., Rababah, A. & Peace, A., 16 Oct 2019, In : Heart. 105, 7, p. A31-A32

Research output: Contribution to journalMeeting Abstract

Open Access

Role of dashboards in improving decision making in healthcare: Review of the literature

Iftikhar, A., Bond, RR., McGilligan, V. E., McShane, A., Leslie, S., Rjoob, K., Knoery, C. & Peace, A., 10 Sep 2019, ECCE 2019 Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. Association for Computing Machinery, p. 215-219 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)