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| Which doctor to trust: a recommender system for identifying the right doctors L Guo, B Jin, C Yao, H Yang, D Huang, F Wang Journal of medical Internet research 18 (7), e6015, 2016 | 58 | 2016 |
| A treatment engine by predicting next-period prescriptions B Jin, H Yang, L Sun, C Liu, Y Qu, J Tong Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 55 | 2018 |
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| Prediction of treatment medicines with dual adaptive sequential networks Y An, L Zhang, H Yang, L Sun, B Jin, C Liu, R Yu, X Wei IEEE Transactions on Knowledge and Data Engineering 34 (11), 5496-5509, 2021 | 11 | 2021 |
| Strategies for building robust prediction models using data unavailable at prediction time H Yang, R Tourani, Y Zhu, V Kumar, GB Melton, M Steinbach, G Simon Journal of the American Medical Informatics Association 29 (1), 72-79, 2022 | 9 | 2022 |
| Teaching deep learning causal effects improves predictive performance J Li, X Jia, H Yang, V Kumar, M Steinbach, GJ Simon Scanning Electron Microsc Meet at, 2020 | 9 | 2020 |
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| Entity aware modelling: A survey R Ghosh, H Yang, A Khandelwal, E He, A Renganathan, S Sharma, X Jia, ... arXiv preprint arXiv:2302.08406, 2023 | 5 | 2023 |
| Modeling reservoir release using pseudo-prospective learning and physical simulations to predict water temperature X Jia, S Chen, Y Xie, H Yang, A Appling, S Oliver, Z Jiang Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 4 | 2022 |
| Incorporating Causal Effects into Deep Learning Predictions on EHR Data J Li, H Yang, X Jia, V Kumar, M Steinbach, G Simon arXiv preprint arXiv:2011.05466, 2020 | 1 | 2020 |
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