| Natural language processing of clinical notes on chronic diseases: systematic review S Sheikhalishahi, R Miotto, JT Dudley, A Lavelli, F Rinaldi, V Osmani JMIR medical informatics 7 (2), e12239, 2019 | 401 | 2019 |
| Monitoring and detecting faults in wastewater treatment plants using deep learning B Mamandipoor, M Majd, S Sheikhalishahi, C Modena, V Osmani Environmental monitoring and assessment 192 (2), 148, 2020 | 100 | 2020 |
| Benchmarking machine learning models on multi-centre eICU critical care dataset S Sheikhalishahi, V Balaraman, V Osmani PloS one 15 (7), e0235424, 2020 | 76* | 2020 |
| Recent Neural Methods on Dialogue State Tracking for Task-Oriented Dialogue Systems: A Survey V Balaraman, S Sheikhalishahi, B Magnini Sigdial, 2021 | 47 | 2021 |
| Language Identification of Similar Languages using Recurrent Neural Networks. E Oro, M Ruffolo, M Sheikhalishahi ICAART (2), 635-640, 2018 | 9 | 2018 |
| Delirium prediction in the ICU: designing a screening tool for preventive interventions A Bhattacharyya, S Sheikhalishahi, H Torbic, W Yeung, T Wang, J Birst, ... JAMIA Open 5 (2), ooac048, 2022 | 7 | 2022 |
| An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care S Sheikhalishahi, A Bhattacharyya, LA Celi, V Osmani Artificial Intelligence in Medicine 144, 102659, 2023 | 5 | 2023 |
| 400: Predicting delirium risk for the following 24 hours in critically ill patients using deep learning A Bhattacharyya, S Sheikhalishahi, S Dugar, S Krishnan, A Duggal, ... Critical Care Medicine 48 (1), 182, 2020 | 4 | 2020 |
| Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora E Ansari, MH Sadreddini, M Sheikhalishahi, R Wallace, F Alimardani arXiv preprint arXiv:1701.08339, 2017 | 3 | 2017 |
| Predicting Hypoxia Using Machine Learning: Systematic Review L Pigat, BP Geisler, S Sheikhalishahi, J Sander, M Kaspar, M Schmutz, ... JMIR Medical Informatics 12 (1), e50642, 2024 | 1 | 2024 |
| Machine learning applications in Intensive Care Unit S Sheikhalishahi Università degli studi di Trento, 2022 | 1 | 2022 |
| Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning S Sheikhalishahi, M Kaspar, S Zaghdoudi, J Sander, P Simon, BP Geisler, ... PLOS Digital Health 3 (3), e0000478, 2024 | | 2024 |
Riccardo Miotto, PhDSenior Director, Machine Learning @ Tempus AI在 tempus.com 的电子邮件经过验证
