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Farzaneh Etminani

Showing results (1-10 of 5) with videos related to

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Frontiers in Artificial Intelligence|October 3, 2025
Adaptive noise-augmented attention for enhancing Transformer fine-tuning on longitudinal medical dataAli Amirahmadi, Farzaneh Etminani, Mattias Ohlsson
JMIR Medical Informatics|June 4, 2025
Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation StudyAli Amirahmadi, Farzaneh Etminani, Jonas Björk, et al.
Journal of Biomedical Informatics|February 29, 2024
Graph neural networks for clinical risk prediction based on electronic health records: A surveyHeloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, et al.
BMJ Open|January 12, 2024
Randomised, siteless study to compare systematic atrial fibrillation screening using enrichment by a risk prediction model with standard care in a Swedish population aged ≥ 65 years: CONSIDERING-AF study designFarzaneh Etminani, Emma Sandgren, Johan Holm, 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|August 22, 2025
Systematic, randomised atrial fibrillation screening using detailed phenotyping with a risk-prediction model combined with patch electrocardiogram in a Swedish population aged 65 years or older: The CONSIDERING-AF trialEmelie Rakai, Farzaneh Etminani, Ninia Younan, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Artificial Intelligence|October 3, 2025
Adaptive noise-augmented attention for enhancing Transformer fine-tuning on longitudinal medical dataAli Amirahmadi, Farzaneh Etminani, Mattias Ohlsson
JMIR Medical Informatics|June 4, 2025
Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation StudyAli Amirahmadi, Farzaneh Etminani, Jonas Björk, et al.
Journal of Biomedical Informatics|February 29, 2024
Graph neural networks for clinical risk prediction based on electronic health records: A surveyHeloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, et al.
BMJ Open|January 12, 2024
Randomised, siteless study to compare systematic atrial fibrillation screening using enrichment by a risk prediction model with standard care in a Swedish population aged ≥ 65 years: CONSIDERING-AF study designFarzaneh Etminani, Emma Sandgren, Johan Holm, 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|August 22, 2025
Systematic, randomised atrial fibrillation screening using detailed phenotyping with a risk-prediction model combined with patch electrocardiogram in a Swedish population aged 65 years or older: The CONSIDERING-AF trialEmelie Rakai, Farzaneh Etminani, Ninia Younan, et al.
Pageof 1