Amira Soliman

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Machine Learning

Electronic Health Record

Top Venues

JMIR research protocols

Journal of medical Internet research

European journal of nuclear medicine and molecular imaging

BMC medical informatics and decision making

This page only lists publications with an associated author ORCID identifier.

Publications

Monika Nair, Lina E Lundgren, Amira Soliman, Petra Dryselius, Ebba Fogelberg, Marcus Petersson, Omar Hamed, Miltiadis Triantafyllou, Jens Martin Nygren
Machine Learning Model for Readmission Prediction of Patients With Heart Failure Based on Electronic Health Records: Protocol for a Quasi-Experimental Study for Impact Assessment. JMIR research protocols 13 (2024)
Monika Nair, Lina E Lundgren, Amira Soliman, Petra Dryselius, Ebba Fogelberg, Marcus Petersson, Omar Hamed, Miltiadis Triantafyllou, Jens Martin Nygren
Machine Learning Model for Readmission Prediction of Patients With Heart Failure Based on Electronic Health Records: Protocol for a Quasi-Experimental Study for Impact Assessment. JMIR research protocols 13 (2024)
Monika Nair, Lina E Lundgren, Amira Soliman, Petra Dryselius, Ebba Fogelberg, Marcus Petersson, Omar Hamed, Miltiadis Triantafyllou, Jens Martin Nygren
Machine Learning Model for Readmission Prediction of Patients With Heart Failure Based on Electronic Health Records: Protocol for a Quasi-Experimental Study for Impact Assessment. JMIR research protocols 13 (2024)
Amira Soliman, Björn Agvall, Farzaneh Etminani, Omar Hamed, Markus Lingman
The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study. Journal of medical Internet research 25 (2023)
Amira Soliman, Jose R 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, null null, Miguel Ochoa-Figueroa
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. BMC medical informatics and decision making 22 (Suppl 6) (2022)
Farzaneh Etminani, Amira Soliman, Anette Davidsson, Jose R Chang, Begoña Martínez-Sanchis, Stefan Byttner, 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
A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET. European journal of nuclear medicine and molecular imaging (2021)