Saeed Shakibfar

Saeed Shakibfar

Postdoc

ORCID: 0000-0001-8399-0318

Publication year:
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1 - 10 out of 12Page size: 10
  1. 2017
  2. Published

    Association between Tpeak-Tend interval and QT prolongation: a study of sertindole and sotalol

    Shakibfar, Saeed, Struijk, J. J., Kanters, Jørgen K., Nielsen, J., Schmidt, S. & Graff, C., 2017, In: Pharmacology, Drug Development & Therapeutics. 1, 2, p. 1-6 6 p.

    Research output: Contribution to journal › Review › Research › peer-review

  3. Published

    Minimal T-wave representation and its use in the assessment of drug arrhythmogenicity

    Shakibfar, Saeed, Graff, C., Kanters, Jørgen K., Nielsen, J., Schmidt, S. & Struijk, J. J., May 2017, In: Annals of Noninvasive Electrocardiology. 22, 3, 6 p., e12413.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. 2019
  5. Published

    Effectiveness of CRT-D Versus ICD on Prevention of Electrical Storm: Big Data from the USA

    Shakibfar, Saeed, Yazdchi, M. & Aliakbaryhosseinabadi, S., 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., p. 302-304 3 p. 8857530

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study

    Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, Casper, Strycko, F., Moll, J., Andersen, Tariq Osman, Høgh Petersen, H., Svendsen, Jesper Hastrup & Igel, Christian, 2019, In: PLoS ONE. 14, 8, e0219533.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    Predicting Electrical Storm Using Episodes’ Parameters from ICD Recorded Data*

    Shakibfar, Saeed, Yazdchi, M. & Aliakbaryhosseinabadi, S., 2019, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, p. 4885-4888

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning

    Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, C., Aranda, A., Moll, J., Andersen, Tariq Osman, Svendsen, Jesper Hastrup, Petersen, H. H. & Igel, Christian, 2019, In: Europace. 21, 2, p. 268–274

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. 2022
  10. Published

    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

    Breitenstein, P. S., Mahmoud, I., Al-Azzawi, F., Shakibfar, Saeed & Sessa, Maurizio, 2022, In: Frontiers in Pharmacology. 13, 11 p., 954393.

    Research output: Contribution to journal › Journal article › Research › peer-review

  11. 2023
  12. Published

    Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals: a Danish register-based study

    Shakibfar, Saeed, Andersen, Morten & Sessa, Maurizio, 2023, In: iScience. 26, 7, 16 p., 107027.

    Research output: Contribution to journal › Journal article › Research › peer-review

  13. Published

    Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review

    Shakibfar, Saeed, Nyberg, F., Li, H., Zhao, J., Nordeng, H. M. E., Sandve, G. K. F., Pavlovic, M., Hajiebrahimi, M., Andersen, Morten & Sessa, Maurizio, 2023, In: Frontiers in Public Health. 11, 15 p., 1183725.

    Research output: Contribution to journal › Review › Research › peer-review

  14. Published

    Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study

    Shakibfar, Saeed, Zhao, J., Li, H., Nordeng, H., Lupattelli, A., Pavlovic, M., Sandve, G. K., Nyberg, F., Wettermark, B., Hajiebrahimi, M., Andersen, Morten & Sessa, Maurizio, 2023, In: Frontiers in Public Health. 11, 16 p., :1258840.

    Research output: Contribution to journal › Journal article › Research › peer-review

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