| Learning the joint representation of heterogeneous temporal events for clinical endpoint prediction L Liu, J Shen, M Zhang, Z Wang, J Tang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 46 | 2018 |
| Learning hierarchical representations of electronic health records for clinical outcome prediction L Liu, H Li, Z Hu, H Shi, Z Wang, J Tang, M Zhang AMIA Annual Symposium Proceedings 2019, 597, 2019 | 24 | 2019 |
| Syntax aware LSTM model for semantic role labeling F Qian, L Sha, B Chang, L Liu, M Zhang Proceedings of the 2nd Workshop on Structured Prediction for Natural …, 2017 | 22 | 2017 |
| Multi-task learning via adaptation to similar tasks for mortality prediction of diverse rare diseases L Liu, Z Liu, H Wu, Z Wang, J Shen, Y Song, M Zhang AMIA Annual Symposium Proceedings 2020, 763, 2020 | 14 | 2020 |
| Early prediction of sepsis from clinical data via heterogeneous event aggregation L Liu, H Wu, Z Wang, Z Liu, M Zhang 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 8 | 2019 |
| Topic medical concept embedding: Multi-sense representation learning for medical concept F Qian, C Gong, L Liu, L Sha, M Zhang 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 4 | 2017 |
| Syntax aware lstm model for chinese semantic role labeling F Qian, L Sha, B Chang, L Liu, M Zhang arXiv preprint arXiv:1704.00405, 2017 | 4 | 2017 |
| Predictive multi-level patient representations from electronic health records Z Wang, H Li, L Liu, H Wu, M Zhang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 3 | 2019 |
Ming Zhang, 张铭Professor,Peking Universitypku.edu.cn의 이메일 확인됨
