Amira Soliman

According to our database, Amira Soliman authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph neural networks for clinical risk prediction based on electronic health records: A survey.

Heloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, Wagner Ourique de Morais, Edison Pignaton de Freitas, Amira Soliman, Farzaneh Etminani, Stefan Byttner, Mariana Recamonde Mendoza

J. Biomed. Informatics, 2024

Evaluation of synthetic electronic health records: A systematic review and experimental assessment.

Emmanuella Budu, Kobra Etminani, Amira Soliman, Thorsteinn S. Rögnvaldsson

Neurocomputing, 2024

Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph.

Heloísa Oss Boll, Ali Amirahmadi, Amira Soliman, Stefan Byttner, Mariana Recamonde Mendoza

CoRR, 2024

Design Principles for Machine Learning Based Clinical Decision Support Systems: A Design Science Study.

Jonas Sjöström, Petra Dryselius, Jens Nygren, Monika Nair, Amira Soliman, Lina E. Lundgren

Proceedings of the Design Science Research for a Resilient Future, 2024

2023

Domain Knowledge-Driven Generation of Synthetic Healthcare Data.

Atiye Sadat Hashemi, Amira Soliman, Jens Lundström, Kobra Etminani

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Temporal Context Matters: An Explainable Model for Medical Resource Utilization in Chronic Kidney Disease.

Omar Hamed, Amira Soliman, Kobra Etminani

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

A Framework for Evaluating Synthetic Electronic Health Records.

Emmanuella Budu, Amira Soliman, Kobra Etminani, Thorsteinn S. Rögnvaldsson

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure Patients.

Amira Soliman, Monika Nair, Marcus Petersson, Lina E. Lundgren, Petra Dryselius, Ebba Fogelberg, Omar Hamed, Kobra Etminani, Jens Nygren

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Time-series Anonymization of Tabular Health Data using Generative Adversarial Network.

Atiye Sadat Hashemi, Kobra Etminani, Amira Soliman, Omar Hamed, Jens Lundström

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model.

Amira Soliman, Jose Ramon Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Bart N. M. van Berckel, Andrea Pilotto, Alessandro Padovani, Silvia Morbelli, Dag Aarsland, Flavio Nobili, Valentina Garibotto, Miguel Ochoa Figueroa

BMC Medical Informatics Decis. Mak., November, 2022