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Saeed Shakibfar
Saeed Shakibfar
Postdoc
Verified email at cs.aau.dk
Title
Cited by
Cited by
Year
Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning
S Shakibfar, O Krause, C Lund-Andersen, A Aranda, J Moll, TO Andersen, ...
Ep Europace 21 (2), 268-274, 2019
332019
Strategic alliance for core competencies improvement in textile industries
F Dadashian, S Shakibfar, MHF Zarandi
International Journal of Management Science and Engineering Management 2 (2 …, 2007
202007
Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT interval
S Shakibfar, C Graff, LH Ehlers, E Toft, JK Kanters, JJ Struijk
Computers in Biology and Medicine 42 (4), 485-491, 2012
82012
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
S Shakibfar, F Nyberg, H Li, J Zhao, HME Nordeng, GKF Sandve, ...
Frontiers in Public Health 11, 1183725, 2023
52023
Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
S Shakibfar, O Krause, C Lund-Andersen, F Strycko, J Moll, ...
Plos one 14 (8), e0219533, 2019
42019
Minimal T‐wave representation and its use in the assessment of drug arrhythmogenicity
S Shakibfar, C Graff, JK Kanters, J Nielsen, S Schmidt, JJ Struijk
Annals of Noninvasive Electrocardiology 22 (3), e12413, 2017
42017
A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registries
PS Breitenstein, I Mahmoud, F Al-Azzawi, S Shakibfar, M Sessa
Frontiers in Pharmacology 13, 954393, 2022
32022
Predicting Electrical Storm Using Episodes’ Parameters from ICD Recorded Data
S Shakibfar, M Yazdchi, S Aliakbaryhosseinabadi
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
22019
AI-based disease risk score for community-acquired pneumonia hospitalization
S Shakibfar, M Andersen, M Sessa
Iscience 26 (7), 2023
12023
Ubrogepant and rimegepant: systematic review, meta-analysis, and meta-regression of clinical studies
G Dong, NA Kjærgaard, S Shakibfar, M Sessa
Expert Opinion on Drug Safety 22 (1), 59-70, 2023
12023
Vibration Damping of Large Containership in Operation
S Shakibfar, IMV Andersen, A Brandt
Practical Design of Ships and Other Floating Structures: Proceedings of the …, 2021
12021
Effectiveness of CRT-D Versus ICD on Prevention of Electrical Storm: Big Data from the USA *
S Shakibfar, M Yazdchi, S Aliakbaryhosseinabadi
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
12019
Drug Repurposing in Crohn’s Disease Using Danish Real-World Data
S Shakibfar, KH Allin, T Jess, MA Barbieri, V Battini, E Simoncic, ...
Pragmatic and Observational Research, 17-29, 2024
2024
Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study
S Shakibfar, J Zhao, H Li, H Nordeng, A Lupattelli, M Pavlovic, GK Sandve, ...
Frontiers in Public Health 11, 1258840, 2023
2023
Clinical Validation
TO Andersen, KD Nielsen, J Moll, JH Svendsen, S Shakibfar, O Krause, ...
Journal of Medical Informatics 129, 381-387, 2019
2019
Association between Tpeak-Tend interval and QT prolongation: A study of sertindole and sotalol
S Shakibfar, JJ Struijk, JK Kanters, J Nielsen, S Schmidt, C Graff
Pharmacology, Drug Development & Therapeutics 1 (2), 1-6, 2017
2017
Drug-induced T-wave morphology changes
S Shakibfar
River Publishers, 2013
2013
Markov chain Monte Carlo simulation for cost-effectiveness of new risk stratification on Implantable Cardioverter Defibrillator (ICD)
S Shakibfar, LH Ehlers, J Struijk
2011
Assessing the potential value of common classification methods for identification of abnormal repolarization using indicators of T-wave morphology and the QT interval
S Shakibfar, C Graff, J Struijk
6th Annual CSCBCE, Canadian Student Conference on Biomedical Computing and …, 2011
2011
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Articles 1–19