Graph Convolutional Networks for Text Classification L Yao, C Mao, Y Luo 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 7370-7377, 2019 | 2401 | 2019 |
KG-BERT: BERT for Knowledge Graph Completion L Yao, C Mao, Y Luo arXiv preprint arXiv:1909.03193, 2019 | 782 | 2019 |
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks L Yao, C Mao, Y Luo BMC medical informatics and decision making 19 (3), 71, 2019 | 201 | 2019 |
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes J Ye, L Yao, J Shen, R Janarthanam, Y Luo BMC medical informatics and decision making 20, 1-7, 2020 | 107 | 2020 |
A Topic Modeling Approach for Traditional Chinese Medicine Prescriptions L Yao, Y Zhang, B Wei, W Zhang, Z Jin IEEE Transactions on Knowledge and Data Engineering (TKDE) 30 (6), 1007-1021, 2018 | 99 | 2018 |
Incorporating Knowledge Graph Embeddings into Topic Modeling L Yao, Y Zhang, B Wei, Z Jin, R Zhang, Y Zhang, Q Chen 31st AAAI Conference on Artificial Intelligence (AAAI-17), 3119-3126, 2017 | 86 | 2017 |
Early prediction of acute kidney injury in critical care setting using clinical notes Y Li, L Yao, C Mao, A Srivastava, X Jiang, Y Luo 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 74 | 2018 |
Imagegcn: Multi-relational image graph convolutional networks for disease identification with chest x-rays C Mao, L Yao, Y Luo IEEE transactions on medical imaging 41 (8), 1990-2003, 2022 | 70 | 2022 |
Traditional Chinese medicine clinical records classification with BERT and domain specific corpora L Yao, Z Jin, C Mao, Y Zhang, Y Luo Journal of the American Medical Informatics Association 26 (12), 1632-1636, 2019 | 70 | 2019 |
Exploring large language models for knowledge graph completion L Yao, J Peng, C Mao, Y Luo arXiv preprint arXiv:2308.13916, 2023 | 65 | 2023 |
Identifying breast cancer distant recurrences from electronic health records using machine learning Z Zeng, L Yao, A Roy, X Li, S Espino, SE Clare, SA Khan, Y Luo Journal of healthcare informatics research 3, 283-299, 2019 | 51 | 2019 |
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks C Mao, L Yao, Y Luo Journal of Biomedical Informatics 127, 104000, 2022 | 48 | 2022 |
Medgcn: Graph convolutional networks for multiple medical tasks C Mao, L Yao, Y Luo arXiv preprint arXiv:1904.00326, 2019 | 45 | 2019 |
Incorporating knowledge into neural network for text representation Y Li, B Wei, Y Liu, L Yao, H Chen, J Yu, W Zhu Expert Systems with Applications 96, 103-114, 2018 | 45 | 2018 |
Developing a portable natural language processing based phenotyping system H Sharma, C Mao, Y Zhang, H Vatani, L Yao, Y Zhong, L Rasmussen, ... BMC Medical Informatics and Decision Making 19, 79-87, 2019 | 44 | 2019 |
Deep generative classifiers for thoracic disease diagnosis with chest x-ray images C Mao, L Yao, Y Pan, Y Luo, Z Zeng 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 39 | 2018 |
Discovering treatment pattern in Traditional Chinese Medicine clinical cases by exploiting supervised topic model and domain knowledge L Yao, Y Zhang, B Wei, W Wang, Y Zhang, X Ren, Y Bian Journal of biomedical informatics 58, 260-267, 2015 | 37 | 2015 |
Incorporating Probabilistic Knowledge into Topic Models L Yao, Y Zhang, B Wei, H Qian, Y Wang PAKDD 2015, 586-597, 2015 | 35 | 2015 |
Traditional Chinese medicine clinical records classification using knowledge-powered document embedding L Yao, Y Zhang, B Wei, Z Li, X Huang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 33 | 2016 |
Mining coherent topics in documents using word embeddings and large-scale text data L Yao, Y Zhang, Q Chen, H Qian, B Wei, Z Hu Engineering Applications of Artificial Intelligence 64, 432-439, 2017 | 31 | 2017 |