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Saeed Shakibfar

Showing results (1-10 of 12) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Predicting Electrical Storm Using Episodes' Parameters from ICD Recorded DataSaeed Shakibfar, Mohammadreza Yazdchi, Susan Aliakbaryhosseinabadi
Iscience|July 10, 2023
AI-based disease risk score for community-acquired pneumonia hospitalizationSaeed Shakibfar, Morten Andersen, Maurizio Sessa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Effectiveness of CRT-D Versus ICD on Prevention of Electrical Storm: Big Data from the USA<sup>.</sup>Saeed Shakibfar, Mohammadreza Yazdchi, Susan Aliakbaryhosseinabadi
Expert Opinion on Drug Safety|February 3, 2023
Ubrogepant and rimegepant: systematic review, meta-analysis, and meta-regression of clinical studiesGuojun Dong, Naoko Adachi Kjærgaard, Saeed Shakibfar, et al.
Frontiers in Pharmacology|November 28, 2022
A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registriesPeter Suhr Breitenstein, Israa Mahmoud, Fahed Al-Azzawi, et al.
Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc|October 28, 2016
Minimal T-wave representation and its use in the assessment of drug arrhythmogenicitySaeed Shakibfar, Claus Graff, Jørgen K Kanters, et al.
Computers in Biology and Medicine|February 7, 2012
Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT intervalSaeed Shakibfar, Claus Graff, Lars H Ehlers, et al.
Pragmatic and Observational Research|February 26, 2024
Drug Repurposing in Crohn's Disease Using Danish Real-World DataSaeed Shakibfar, Kristine H Allin, Tine Jess, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|December 4, 2018
Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learningSaeed Shakibfar, Oswin Krause, Casper Lund-Andersen, et al.
Plos One|August 9, 2019
Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale studySaeed Shakibfar, Oswin Krause, Casper Lund-Andersen, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Predicting Electrical Storm Using Episodes' Parameters from ICD Recorded DataSaeed Shakibfar, Mohammadreza Yazdchi, Susan Aliakbaryhosseinabadi
Iscience|July 10, 2023
AI-based disease risk score for community-acquired pneumonia hospitalizationSaeed Shakibfar, Morten Andersen, Maurizio Sessa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Effectiveness of CRT-D Versus ICD on Prevention of Electrical Storm: Big Data from the USA<sup>.</sup>Saeed Shakibfar, Mohammadreza Yazdchi, Susan Aliakbaryhosseinabadi
Expert Opinion on Drug Safety|February 3, 2023
Ubrogepant and rimegepant: systematic review, meta-analysis, and meta-regression of clinical studiesGuojun Dong, Naoko Adachi Kjærgaard, Saeed Shakibfar, et al.
Frontiers in Pharmacology|November 28, 2022
A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registriesPeter Suhr Breitenstein, Israa Mahmoud, Fahed Al-Azzawi, et al.
Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc|October 28, 2016
Minimal T-wave representation and its use in the assessment of drug arrhythmogenicitySaeed Shakibfar, Claus Graff, Jørgen K Kanters, et al.
Computers in Biology and Medicine|February 7, 2012
Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT intervalSaeed Shakibfar, Claus Graff, Lars H Ehlers, et al.
Pragmatic and Observational Research|February 26, 2024
Drug Repurposing in Crohn's Disease Using Danish Real-World DataSaeed Shakibfar, Kristine H Allin, Tine Jess, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|December 4, 2018
Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learningSaeed Shakibfar, Oswin Krause, Casper Lund-Andersen, et al.
Plos One|August 9, 2019
Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale studySaeed Shakibfar, Oswin Krause, Casper Lund-Andersen, et al.
Pageof 2