| Prediction and risk stratification of kidney outcomes in IgA nephropathy T Chen, X Li, Y Li, E Xia, Y Qin, S Liang, F Xu, D Liang, C Zeng, Z Liu American journal of kidney diseases 74 (3), 300-309, 2019 | 158 | 2019 |
| Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning C Zeng, Y Nan, F Xu, Q Lei, F Li, T Chen, S Liang, X Hou, B Lv, D Liang, ... The Journal of pathology 252 (1), 53-64, 2020 | 65 | 2020 |
| Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation X Li, H Liu, X Du, P Zhang, G Hu, G Xie, S Guo, M Xu, X Xie AMIA Annual Symposium Proceedings 2016, 799, 2016 | 56 | 2016 |
| A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal Carcinoma M Qiang, C Li, Y Sun, Y Sun, L Ke, C Xie, T Zhang, Y Zou, W Qiu, M Gao, ... JNCI: Journal of the National Cancer Institute, 2020 | 54 | 2020 |
| A Time-Phased Machine Learning Model for Real-Time Prediction of Sepsis in Critical Care X Li, X Xu, F Xie, X Xu, Y Sun, X Liu, X Jia, Y Kang, L Xie, F Wang, G Xie Critical Care Medicine 48 (10), e884-e888, 2020 | 53 | 2020 |
| Artificial Intelligence in Nephrology: How Can Artificial Intelligence Augment Nephrologists’ Intelligence? G Xie, T Chen, Y Li, T Chen, X Li, Z Liu Kidney Diseases 6 (1), 1-6, 2020 | 45 | 2020 |
| Impacts of the plateau environment on the gut microbiota and blood clinical indexes in Han and Tibetan individuals Z Jia, X Zhao, X Liu, L Zhao, Q Jia, J Shi, X Xu, L Hao, Z Xu, Q Zhong, ... Msystems 5 (1), 2020 | 44 | 2020 |
| Pairwise-ranking based collaborative recurrent neural networks for clinical event prediction Z Qiao, S Zhao, C Xiao, X Li, Y Qin, F Wang Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 40 | 2018 |
| Machine learning for prediction and risk stratification of lupus nephritis renal flare Y Chen, S Huang, T Chen, D Liang, J Yang, C Zeng, X Li, G Xie, ZH Liu American Journal of Nephrology 52 (2), 152-160, 2021 | 35 | 2021 |
| TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. K Yang, X Li, H Liu, J Mei, GT Xie, J Zhao, B Xie, F Wang AAAI, 2824-2830, 2017 | 35 | 2017 |
| Lung Nodule Malignancy Prediction Using Multi-task Convolutional Neural Network X Li, Y Kao, W Shen, X Li, G Xie SPIE Medical Imaging, 1013424-1013424-7, 2017 | 33 | 2017 |
| Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients. X Li, H Liu, J Yang, G Xie, M Xu, Y Yang Studies in health technology and informatics 245, 476-480, 2017 | 29 | 2017 |
| An efficacy driven approach for medication recommendation in type 2 diabetes treatment using data mining techniques. H Liu, G Xie, J Mei, W Shen, W Sun, X Li Studies in health technology and informatics 192, 1071-1071, 2013 | 24 | 2013 |
| Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network W Jia, X Li, K Tan, G Xie 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-4, 2019 | 22 | 2019 |
| Building Structured Personal Health Records from Photographs of Printed Medical Records X Li, G Hu, X Teng, G Xie AMIA Annual Symposium Proceedings 2015, 833, 2015 | 22 | 2015 |
| Evaluation of Renal Fibrosis by Mapping Histology and Magnetic Resonance Imaging J Zhang, Y Yu, X Liu, X Tang, F Xu, M Zhang, G Xie, L Zhang, X Li, ZH Liu Kidney Diseases 7 (2), 131-142, 2021 | 21 | 2021 |
| ALeRT-COVID: Attentive lockdown-aware transfer learning for predicting COVID-19 pandemics in different countries Y Li, W Jia, J Wang, J Guo, Q Liu, X Li, G Xie, F Wang Journal of healthcare informatics research 5 (1), 98-113, 2021 | 19 | 2021 |
| A Decision Fusion Framework for Treatment Recommendation Systems. J Mei, H Liu, X Li, GT Xie, Y Yu MedInfo, 300-304, 2015 | 19 | 2015 |
| Inpatient2vec: Medical representation learning for inpatients Y Wang, X Xu, T Jin, X Li, G Xie, J Wang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 18 | 2019 |
| Integrating multiple data sources and learning models to predict infectious diseases in China W Jia, Y Wan, Y Li, K Tan, W Lei, Y Hu, Z Ma, X Li, G Xie AMIA Summits on Translational Science Proceedings 2019, 680, 2019 | 18 | 2019 |
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