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2020 – today
- 2024
[j9]Mariam Zomorodi, Ismail Ghodsollahee, Jennifer H. Martin, Nicholas J. Talley, Vahid Salari, Pawel Plawiak, Kazem Rahimi, U. Rajendra Acharya:
RECOMED: A comprehensive pharmaceutical recommendation system. Artif. Intell. Medicine 157: 102981 (2024)- [j8]Shishir Rao
, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi:
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5027-5038 (2024) - 2023
- [j7]Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics 27(2): 1106-1117 (2023) - 2022
- [j6]Thomas Fisher, Harry Gibson, Yunzhe Liu, Moloud Abdar, Marius Posa, Gholamreza Salimi-Khorshidi, Abdelaali Hassaïne, Yutong Cai, Kazem Rahimi, Mohammad Mamouei:
Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. Remote. Sens. 14(13): 3072 (2022) - [j5]Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics 26(7): 3362-3372 (2022) - [i8]Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi:
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records. CoRR abs/2202.03487 (2022) - [i7]Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR abs/2205.07234 (2022) - 2021
- [i6]Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR abs/2101.11359 (2021) - [i5]Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR abs/2106.11360 (2021) - [i4]José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Transfer Learning in Electronic Health Records through Clinical Concept Embedding. CoRR abs/2107.12919 (2021) - 2020
- [j4]José Roberto Ayala Solares, Francesca Elisa Diletta Raimondi, Yajie Zhu, Fatemeh Rahimian, Dexter Canoy, Jenny Tran, Ana Catarina Pinho Gomes, Amir Hossein Payberah, Mariagrazia Zottoli, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Deep learning for electronic health records: A comparative review of multiple deep neural architectures. J. Biomed. Informatics 101: 103337 (2020) - [j3]Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Mariagrazia Zottoli, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. J. Biomed. Informatics 112: 103606 (2020) - [i3]Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi:
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR abs/2003.10170 (2020)
2010 – 2019
- 2019
- [j2]Andreas Triantafyllidis, Haridimos Kondylakis, Konstantinos Votis, Dimitrios Tzovaras, Nicos Maglaveras, Kazem Rahimi:
Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. Int. J. Medical Informatics 132 (2019) - [i2]Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. CoRR abs/1907.08577 (2019) - [i1]Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi:
BEHRT: Transformer for Electronic Health Records. CoRR abs/1907.09538 (2019) - 2018
- [c2]Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah, Gholamreza Salimi Khorshidi, Dario Salvi, Kazem Rahimi, Lionel Tarassenko:
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches. EMBC 2018: 6092-6095 - 2015
- [j1]Andreas Triantafyllidis, Carmelo Velardo, Tracey Chantler, Syed Ahmar Shah, Chris Paton, Reza Khorshidi, Lionel Tarassenko, Kazem Rahimi:
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study. Int. J. Medical Informatics 84(10): 743-753 (2015) - 2014
- [c1]Andreas Triantafyllidis, Carmelo Velardo, Syed Ahmar Shah, Lionel Tarassenko, Tracey Chantler, Chris Paton, Kazem Rahimi:
Supporting heart failure patients through personalized mobile health monitoring. MobiHealth 2014: 287-290
Coauthor Index
aka: Gholamreza Salimi-Khorshidi
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