| Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications B Xue, D Li, C Lu, CR King, T Wildes, MS Avidan, T Kannampallil, ... JAMA network open 4 (3), e212240-e212240, 2021 | 147 | 2021 |
| Kergm: Kernelized graph matching Z Zhang, Y Xiang, L Wu, B Xue, A Nehorai Advances in Neural Information Processing Systems 32, 2019 | 41 | 2019 |
| Continuous Real-Time Prediction of Surgical Case Duration Using a Modular Artificial Neural Network Y Jiao, B Xue, C Lu, M Avidan, T Kannampallil British Journal of Anaesthesia, 2022 | 26 | 2022 |
| Validation of actigraphy for sleep measurement in children with cerebral palsy B Xue, A Licis, J Boyd, C Hoyt, YE Ju Sleep Medicine, 2022 | 12 | 2022 |
| Integrating machine learning predictions for perioperative risk management: towards an empirical design of a flexible-standardized risk assessment tool J Abraham, B Bartek, A Meng, CR King, B Xue, C Lu, MS Avidan Journal of biomedical informatics 137, 104270, 2023 | 11 | 2023 |
| Obstructive sleep apnea detection using difference in feature and modified minimum distance classifier W Shi, B Xue, S Guo, DYT Goh, W Ser 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 10 | 2018 |
| Perioperative predictions with interpretable latent representation B Xue, Y Jiao, T Kannampallil, B Fritz, C King, J Abraham, M Avidan, C Lu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Assisting clinical decisions for scarcely available treatment via disentangled latent representation B Xue, AS Said, Z Xu, H Liu, N Shah, H Yang, P Payne, C Lu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 6 | 2023 |
| Distance-based detection of cough, wheeze, and breath sounds on wearable devices B Xue, W Shi, SH Chotirmall, VCA Koh, YY Ang, RX Tan, W Ser Sensors 22 (6), 2167, 2022 | 6 | 2022 |
| Multi-horizon predictive models for guiding extracorporeal resource allocation in critically ill COVID-19 patients B Xue, N Shah, H Yang, T Kannampallil, PRO Payne, C Lu, AS Said Journal of the American Medical Informatics Association 30 (4), 656-667, 2023 | 5 | 2023 |
| Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications. JAMA network open, 4 (3 … B Xue, D Li, C Lu, CR King, T Wildes, MS Avidan, J Abraham | 5 | 2021 |
| Validation of extracorporeal membrane oxygenation mortality prediction and severity of illness scores in an international COVID‐19 cohort N Shah, B Xue, Z Xu, H Yang, E Marwali, H Dalton, PPR Payne, C Lu, ... Artificial Organs 47 (9), 1490-1502, 2023 | 4 | 2023 |
| Self-explaining Hierarchical Model for Intraoperative Time Series D Li, B Xue, C King, B Fritz, M Avidan, J Abraham, C Lu 2022 IEEE International Conference on Data Mining (ICDM), 1041-1046, 2022 | 1 | 2022 |
| Prescribing Large Language Models for Perioperative Care: What's The Right Dose for Pre-trained Models? B Xue, C Alba, J Abraham, T Kannampallil, C Lu arXiv preprint arXiv:2402.17493, 2024 | | 2024 |
| Multi-horizon prediction for extracorporeal support in COVID-19 patients B Xue, N Shah, H Yang, T Kannampallil, P Payne, C Lu, A Said AMIA 2021 Annual Symposium 14, 2021 | | 2021 |
| Extracorporeal survival scores perform poorly in the COVID-19 patients B Xue, N Shah, H Yang, T Kannampallil, P Payne, L Chenyang, A Said 32nd ELSO Annual Conference 50, 2021 | | 2021 |
Chenyang LuFullgraf Professor, Washington University在 cse.wustl.edu 的电子邮件经过验证
