| Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis B Shickel, PJ Tighe, A Bihorac, P Rashidi IEEE Journal of Biomedical and Health Informatics 22 (5), 1589-1604, 2018 | 1612 | 2018 |
| DeepSOFA: a continuous acuity score for critically ill patients using clinically interpretable deep learning B Shickel, TJ Loftus, L Adhikari, T Ozrazgat-Baslanti, A Bihorac, P Rashidi Scientific reports 9 (1), 1879, 2019 | 179 | 2019 |
| Intelligent ICU for autonomous patient monitoring using pervasive sensing and deep learning A Davoudi, KR Malhotra, B Shickel, S Siegel, S Williams, M Ruppert, ... Scientific reports 9 (1), 8020, 2019 | 154 | 2019 |
| Performance of a machine learning algorithm using electronic health record data to predict postoperative complications and report on a mobile platform Y Ren, TJ Loftus, S Datta, MM Ruppert, Z Guan, S Miao, B Shickel, Z Feng, ... JAMA network open 5 (5), e2211973-e2211973, 2022 | 77 | 2022 |
| Phenotype clustering in health care: a narrative review for clinicians TJ Loftus, B Shickel, JA Balch, PJ Tighe, KL Abbott, B Fazzone, ... Frontiers in artificial intelligence 5, 842306, 2022 | 62 | 2022 |
| Clinical information systems and artificial intelligence: recent research trends C Combi, G Pozzi Yearbook of medical informatics 28 (01), 083-094, 2019 | 53 | 2019 |
| Artificial intelligence-enabled decision support in nephrology TJ Loftus, B Shickel, T Ozrazgat-Baslanti, Y Ren, BS Glicksberg, J Cao, ... Nature Reviews Nephrology 18 (7), 452-465, 2022 | 51 | 2022 |
| Ideal algorithms in healthcare: explainable, dynamic, precise, autonomous, fair, and reproducible TJ Loftus, PJ Tighe, T Ozrazgat-Baslanti, JP Davis, MM Ruppert, Y Ren, ... PLOS digital health 1 (1), e0000006, 2022 | 51 | 2022 |
| Automatic detection and classification of cognitive distortions in mental health text B Shickel, S Siegel, M Heesacker, S Benton, P Rashidi 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 48 | 2020 |
| Reinforcement learning in surgery S Datta, Y Li, MM Ruppert, Y Ren, B Shickel, T Ozrazgat-Baslanti, ... Surgery 170 (1), 329-332, 2021 | 47 | 2021 |
| Deep Neural Network Architectures for Forecasting Analgesic Response P Nickerson, P Tighe, B Shickel, P Rashidi Proceedings of the 38th Annual International Conference of the IEEE …, 2016 | 47 | 2016 |
| Uncertainty-aware deep learning in healthcare: a scoping review TJ Loftus, B Shickel, MM Ruppert, JA Balch, T Ozrazgat-Baslanti, PJ Tighe, ... PLOS digital health 1 (8), e0000085, 2022 | 45 | 2022 |
| Transformers in healthcare: A survey S Nerella, S Bandyopadhyay, J Zhang, M Contreras, S Siegel, A Bumin, ... arXiv preprint arXiv:2307.00067, 2023 | 33 | 2023 |
| Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals L Peng, G Luo, A Walker, Z Zaiman, EK Jones, H Gupta, K Kersten, ... Journal of the American Medical Informatics Association 30 (1), 54-63, 2023 | 25 | 2023 |
| Deep multi-modal transfer learning for augmented patient acuity assessment in the intelligent ICU B Shickel, A Davoudi, T Ozrazgat-Baslanti, M Ruppert, A Bihorac, ... Frontiers in digital health 3, 640685, 2021 | 24 | 2021 |
| Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup KB Kashani, L Awdishu, SM Bagshaw, EF Barreto, R Claure-Del Granado, ... Nature Reviews Nephrology 19 (12), 807-818, 2023 | 23 | 2023 |
| Federated learning for preserving data privacy in collaborative healthcare research TJ Loftus, MM Ruppert, B Shickel, T Ozrazgat-Baslanti, JA Balch, PA Efron, ... Digital Health 8, 20552076221134455, 2022 | 23 | 2022 |
| Sequential interpretability: methods, applications, and future direction for understanding deep learning models in the context of sequential data B Shickel, P Rashidi arXiv preprint arXiv:2004.12524, 2020 | 23 | 2020 |
| Use of artificial intelligence in critical care: opportunities and obstacles MR Pinsky, A Bedoya, A Bihorac, L Celi, M Churpek, ... Critical Care 28 (1), 113, 2024 | 20 | 2024 |
| The intelligent ICU pilot study: using artificial intelligence technology for autonomous patient monitoring A Davoudi, KR Malhotra, B Shickel, S Siegel, S Williams, M Ruppert, ... arXiv preprint arXiv:1804.10201, 2018 | 20 | 2018 |
Parisa RashidiUniversity of FloridaAdresse e-mail validée de ufl.edu