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Egill Fridgeirsson, MSc Postdoc Email:
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Background
Egill received his MSc degree from Reykjavik University in Biomedical Engineering in 2012. Following that he worked for some years at the department of Clinical Engineering and IT as a project manager involved in the procurement and management of medical devices and information systems. After that he decided to pursue a PhD on the topic of modelling the effects of neuromodulation treatments for psychiatric disorders. The work was done at the department of Psychiatry at the Academic Medical Center in Amsterdam. He defended his thesis in November 2023 titled Modelling the Mind: Neuromodulation in psychiatric disorders.
Currently his interests lie in leveraging state of the art deep learning techniques such as self-supervised models, graph neural networks and transformers in the domain of large scale electronic medical records data.
Publications
Fridgeirsson, E.A., Williams, R., Rijnbeek, P., Suchard M.A. & Reps, J.M. (2024) Comparing penalization methods for linear models on large observational health data. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae109
C. Yang., Fridgeirsson E.A., Kors, J.A., Reps, J.M. & Rijnbeek P.R. (2024) Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data. Journal of Big Data 11 (1), 7. https://doi.org/10.1186/s40537-023-00857-7
M. Schuemie, J. Reps., A. Black, F. DeFalco., Evans, L., Fridgeirsson, E., Gilbert, J.P., Knoll, C., ... and Suchard M., Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research. (2024). Studies in health technology and informatics. 310, 966. https://doi.org/10.3233/2FSHTI231108
Fridgeirsson, E.A., Sontag, D. & Rijnbeek, P. Attention-based neural networks for clinical prediction modelling on electronic health records. BMC Med Res Methodol 23, 285 (2023). https://doi.org/10.1186/s12874-023-02112-2
Seinen, T. M., Kors, J. A., van Mulligen, E. M., Fridgeirsson, E., & Rijnbeek, P. R. (2023). The added value of text from Dutch general practitioner notes in predictive modeling. Journal of the American Medical Informatics Association, ocad160. https://doi.org/10.1093/jamia/ocad160
Lee, D. Y., Choi, B., Kim, C., Fridgeirsson, E., Reps, J., Kim, M., ... & Park, R. W. (2023). Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study. Journal of medical Internet research, 25, e46165. https://doi.org/10.2196/46165
Fridgeirsson, E. A., Bais, M. N., Eijsker, N., Thomas, R. M., Smit, D. J., Bergfeld, I. O., ... & Denys, D. (2023). Patient specific intracranial neural signatures of obsessions and compulsions in the ventral striatum. Journal of neural engineering, 20(2), 026008. https://doi.org/10.1088/1741-2552/acbee1
Fridgeirsson, E. A., Bergfeld, I. O., de Kwaasteniet, B., Luigjes, J., van Laarhoven, J., Notten, P., ... & van Wingen, G. (2023). Deep brain stimulation modulates directional limbic connectivity in major depressive disorder. medRxiv, 2023-05.
John, L. H., Kors, J. A., Fridgeirsson, E. A., Reps, J. M., & Rijnbeek, P. R. (2022). External validation of existing dementia prediction models on observational health data. BMC Medical Research Methodology, 22(1), 1-12. https://doi.org/10.1186/s12874-022-01793-5
Seinen, T. M., Fridgeirsson, E. A., Ioannou, S., Jeannetot, D., John, L. H., Kors, J. A., ... & Rijnbeek, P. R. (2022). Use of unstructured text in prognostic clinical prediction models: a systematic review. Journal of the American Medical Informatics Association, 29(7), 1292-1302. https://doi.org/10.1093/jamia/ocac058
Xiaoyu Chen, Zhen Wang, Qian Lv, Qiming Lv, Guido van Wingen, Egill Axfjord Fridgeirsson, Damiaan Denys, Valerie Voon, Zheng Wang. Common and differential connectivity profiles of deep brain stimulation and capsulotomy in refractory obsessive-compulsive disorder. Molecular Psychiatry. 2022. https://doi.org/10.1038/s41380-021-01358-w
Tom M Seinen, Egill A Fridgeirsson, Solomon Ioannou, Daniel Jeannetot, Luis H John, Jan A Kors, Aniek F Markus, Victor Pera, Alexandros Rekkas, Ross D Williams, Cynthia Yang, Erik M van Mulligen, Peter R Rijnbeek. Use of unstructured text in prognostic clinical prediction models: a systematic review. Journal of the American Medical Informatics Association. 2022. https://doi.org/10.1093/jamia/ocac058
Ottenhoff, M.C., Ramos, L.A., Potters, W., Janssen, M.LF., Hubers, D., Pina-Fuentes, D. [et al including E.A. Fridgeirsson] Predicting mortality of individual COVID-19 patients: A multicenter Dutch cohort. BMJ open. 2021. https://doi.org/10.1101/2020.10.10.20210591
Fridgeirsson, E.A., Deng, Z.D., Denys, D., van Waarde, J., van Wingen, G. Electric field strength induced by electroconvulsive therapy is associated with clinical outcome. Neuroimage Clinical. 2021. https://doi.org/10.1016/j.nicl.2021.102581
Fridgeirsson, E. A., Figee, M., Luigjes, J., van den Munckhof, P., Richard Schuurman, P., van Wingen, G., & Denys, D. Deep brain stimulation modulates directional limbic connectivity in obsessive-compulsive disorder. Brain. 2020. https://doi.org/10.1093/brain/awaa100
Bruin, W. B., Taylor, L., Thomas, R. M., Shock, J. P., Zhutovsky, P., Abe, Y., [et al including E.A. Fridgeirsson] Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters. Translational Psychiatry. 2020. https://doi.org/10.1038/s41398-020-01013-y
Boedhoe, P. S. W., van Rooij, D., Hoogman, M., Twisk, J. W. R., Schmaal, L., Abe, Y., [et al including E.A. Fridgeirsson] Subcortical brain volume, regional cortical thickness, and cortical surface are a across disorders: findings from the ENIGMA ADHD, ASD and OCD working groups. American Journal of Psychiatry. 2020. https://doi.org/10.1176/appi.ajp.2020.19030331
Kong, X. Z., Boedhoe, P. S. W., Abe, Y., Alonso, P., Ameis, S. H., Arnold, P. D., [et al including E.A. Fridgeirsson] Mapping cortical and subcortial asymmetry in obsessive-compulsive disorder: findings from the ENIGMA consortium. Biological Psychiatry. 2020. https://doi.org/10.1016/j.biopsych.2019.04.022
Boedhoe, P. S. W., Heymans, M. W., Schmaal, L., Abe, Y., Alonso, P., [et al including E.A. Fridgeirsson] An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group. Frontiers in neuroinformatics 2019. https://doi.org/10.3389/fninf.2018.00102
Boedhoe, P. S. W., Schmaal, L., Abe, Y., Alonso, P., Ameis, S. H., Anticevic, A., [et al including E.A. Fridgeirsson] Cortical abnormalities associated with pediatric and adult obsessive-compulsive disorder: findings from the ENIGMA Obsessive-Compulsive Disorder Working Group. American Journal of Psychiatry. 2018. https://doi.org/10.1176/appi.ajp.2017.17050485
Gargiulo, P., Belfiore, P., Fridgeirsson, E. A., Vanhatalo, S., & Ramon, C. The effect of fontanel on scalp EEG potentials in the neonate. Clinical Neurophysiology. 2015. https://doi.org/10.1016/j.clinph.2014.12.002
Ramon, C., Garguilo, P., Fridgeirsson, E. A., & Haueisen, J. Changes in scalp potentials and spatial smoothing effects of inclusion of dura layer in human head models for EEG simulations. Frontiers in Neuroengineering. 2014. https://doi.org/10.3389/fneng.2014.00032
Egill A Fridgeirsson, Paolo Gargiulo, Ceon Ramon, Jens Haueisen. 3D segmented model of head for modelling electrical activity of the brain. European Journal of Translational Myology. 2012. https://doi.org/10.4081/ejtm.2012.1793
Book chapters
Deng, Z.D., Liston, C., Gunning, F.M., Dubin, M.J.,Fridgeirsson, E.A., Lilien, J., van Wingen, G., van Waarde, J. Electrical Field Modelling for Transcranial Magnetic Stimulation and Electroconvulsive Therapy. Brain and Human Body Modelling. 2019. https://doi.org/10.1007/978-3-030-21293-3_4
Conference Papers
Markus, A. F., Fridgeirsson, E. A., Kors, J. A., Verhamme, K. M., Reps, J. M., & Rijnbeek, P. R. (2023, July). Understanding the Size of the Feature Importance Disagreement Problem in Real-World Data. In ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH).
Yang, C., Fridgeirsson, E. A., Kors, J. A., Reps, J. M., Rijnbeek, P. R., Wong, J., & Williams, R. D. (2023). Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?. CARING IS SHARING–EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION, 129.
Markus, A. F., Fridgeirsson, E. A., Kors, J. A., Verhamme, K. M., & Rijnbeek, P. R. (2023). Challenges of Estimating Global Feature Importance in Real-World Health Care Data. CARING IS SHARING–EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION, 1057.
D Denys, EA Fridgeirsson, N Eijsker, MN Bais, RM Thomas, IO Bergfeld, PR Schuurman, P van den Munckhof, P de Koning, M Figee. Concurrent Intracranial and Extracranial Electrophysiological Recordings in Humans: relevance for deep brain stimulation in psychiatric disorders. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation. 2022
Hu, S., Fridgeirsson, E.A., van Wingen, G., Welling, M., Transformer-based Deep Survival Analysis. AAAI spring symposium on Survival Prediction. 2020.