| BEHRT: transformer for electronic health records Y Li, S Rao, JRA Solares, A Hassaine, R Ramakrishnan, D Canoy, Y Zhu, ... Scientific reports 10 (1), 7155, 2020 | 446 | 2020 |
| Deep learning for electronic health records: A comparative review of multiple deep neural architectures JRA Solares, FED Raimondi, Y Zhu, F Rahimian, D Canoy, J Tran, ... Journal of biomedical informatics 101, 103337, 2020 | 200 | 2020 |
| Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records F Rahimian, G Salimi-Khorshidi, AH Payberah, J Tran, R Ayala Solares, ... PLoS medicine 15 (11), e1002695, 2018 | 127 | 2018 |
| Systolic blood pressure and risk of valvular heart disease: a Mendelian randomization study M Nazarzadeh, AC Pinho-Gomes, KS Byrne, D Canoy, F Raimondi, ... JAMA cardiology 4 (8), 788-795, 2019 | 83 | 2019 |
| Modeling and prediction of global magnetic disturbance in near-Earth space: A case study for Kp index using NARX models JR Ayala Solares, HL Wei, RJ Boynton, SN Walker, SA Billings Space Weather 14, 899–916, 2016 | 59 | 2016 |
| A novel logistic-NARX model as a classifier for dynamic binary classification JR Ayala Solares, HL Wei, SA Billings Neural Computing and Applications 31, 11-25, 2019 | 34 | 2019 |
| Learning multimorbidity patterns from electronic health records using non-negative matrix factorisation A Hassaine, D Canoy, JRA Solares, Y Zhu, S Rao, Y Li, M Zottoli, ... Journal of Biomedical Informatics 112, 103606, 2020 | 29 | 2020 |
| Nonlinear model structure detection and parameter estimation using a novel bagging method based on distance correlation metric JR Ayala Solares, HL Wei Nonlinear Dynamics, 1-15, 2015 | 27 | 2015 |
| Optimal power allocation of a sensor node under different rate constraints JRA Solares, Z Rezki, MS Alouini 2012 IEEE International Conference on Communications (ICC), 2334-2338, 2012 | 14 | 2012 |
| The power of natural inspiration in control systems HE Ponce Espinosa, JR Ayala-Solares Nature-Inspired Computing for Control Systems, 1-10, 2015 | 9 | 2015 |
| Blood pressure and risk of venous thromboembolism: A large-scale prospective cohort analysis and a Mendelian randomisation study M Nazarzadeh, AC Pinho-Gomes, H Mohseni, KS Byrne, Z Bidel, ... Journal of Hypertension 37, e95, 2019 | 8 | 2019 |
| Power minimization of a wireless sensor node under different rate constraints JRA Solares, L Sboui, Z Rezki, MS Alouini IEEE Transactions on Signal Processing 64 (13), 3458-3469, 2016 | 8 | 2016 |
| Optimal power allocation of a single transmitter-multiple receivers channel in a cognitive sensor network JRA Solares, Z Rezki, MS Alouini 2012 International Conference on Wireless Communications in Underground and …, 2012 | 8 | 2012 |
| Transfer learning in electronic health records through clinical concept embedding JRA Solares, Y Zhu, A Hassaine, S Rao, Y Li, M Mamouei, D Canoy, ... arXiv preprint arXiv:2107.12919, 2021 | 5 | 2021 |
| The variability of the Atlantic meridional circulation since 1980, as hindcast by a data-driven nonlinear systems model JR Ayala-Solares, HL Wei, GR Bigg Acta Geophysica 66, 683-695, 2018 | 5 | 2018 |
| BEHRT: Transformer for Electronic Health Records. jul 2019 Y Li, S Rao, JRA Solares, A Hassaine, D Canoy, Y Zhu, K Rahimi, ... URL http://arxiv. org/abs, 1907 | 5 | 1907 |
| International Journal of Distributed Sensor Networks H Ponce, L Martinez-Villaseñor, G O’Hare, JR Ayala-Solares | 1 | 2021 |
| Supervised learning with artificial hydrocarbon networks: an open source implementation and its applications JR Ayala-Solares, H Ponce arXiv preprint arXiv:2005.10348, 2020 | 1 | 2020 |
| Alternatively, you can explore our Disciplines Hubs, including R Bayir, A Albayrak The Indian Economic & Social History Review 59 (1), 2022 | | 2022 |
| Long-term past, current and usual systolic blood pressure and incident cardiovascular disease: risk prediction using large-scale, routinely recorded clinical data JR Solares, D Canoy, FED Raimondi, Y Zhu, A Hassaine, ... EUROPEAN HEART JOURNAL 40, 852-852, 2019 | | 2019 |
Reza Khorshidi (Gholamreza Salimi-K...Chief Scientist, AIG || Machine Learning & Biomedical Informatics, The University of OxfordVerified email at fmrib.ox.ac.uk
