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choczhang / Healthcare-big-data-analysis

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Papers on Healthcare Big Data Analysis

  1. Ma Liantao, Zhang Chaohe, Wang Yasha*, Ruan Wenjie, Wang Jiangtao, Tang Wen, Ma Xinyu, Gao Xin, Gao Junyi; Concare: Personalized clinical feature embedding via capturing the healthcare context; 34th AAAI Conference on Artificial Intelligence (AAAI 2020); 2020, 34(01): 833-840. https://ojs.aaai.org/index.php/AAAI/article/view/5428
  2. Ma Liantao, Ma Xinyu, Gao Junyi, Jiao Xianfeng, Yu Zhihao, Zhang Chaohe, Ruan Wenjie, Wang Yasha*, Tang Wen, Wang Jiangtao. DistCare: Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis. The Web Conference (WebConf 2021), 2021. https://dl.acm.org/doi/abs/10.1145/3442381.3449855?casa_token=JNA0NU0w_bIAAAAA:ZUat9GsbuCe0bejWps6Hs7ZOpE3Qw5mZp4OXZmHHwwcvgaZXfz_N__V2UYMO1GnH_odMh3rnHrToSA
  3. Gao Jingyue, Wang Xiting, Wang Yasha*, Yang Zhao, Gao Junyi, Wang Jiangtao, Tang Wen, Xie Xing; CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare; the 19th IEEE International Conference on Data Mining (ICDM'19); 2019. WOS:000555729900111, EI:20200608137396 https://ieeexplore.ieee.org/abstract/document/8970792
  4. Chu Xu, Lin Yang, Wang Yasha*, Wang Leye, Wang Jiangtao, Gao Jingyue; MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction; the 28th International Joint Conference on Artificial Intelligence (IJCAI-19); 2019: 4518-4524. EI:20194607696240 https://www.ijcai.org/proceedings/2019/628
  5. Wang Jiangtao, Ma Junyi, Wang Yasha*, Wang Ning, Wang Leye, Zhang Daqing, Wang Feng, Lv Qin; Will Online Digital Footprints Reveal Your Relationship Status? An Empirical Study of Social Applications for Sexual-Minority Men; Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (Ubicomp 2020); 2020, 4(1): 1-23. EI:20201308359424 https://dl.acm.org/doi/abs/10.1145/3380978?casa_token=N0-FPOcx9_cAAAAA:-3u5zCuDJ75OosCb7daAH8UfkLnjlIyKgkNmAYAb6fTu0jmSriwO3CwKbRlA4yrhxtLdO2E3xCTBjQ
  6. Wu Jue, Ma Junyi, Wang Yasha*, Wang Jiangtao; Understanding and Predicting the Burst of Burnout via Social Media; 23rd ACM Conference on Computer-Supported Cooperative Work (CSCW 2020); 2020. https://dl.acm.org/doi/abs/10.1145/3434174?casa_token=znKSIGr-rGMAAAAA:iR83csHcuj8rc4FPaI9LGy2ElBoEuzmmesXWWR8xoXq3sDgTD1geb6wCMqyJSza04AnDiAEKDyQAUQ
  7. Gao Junyi, Xiao Cao, Wang Yasha*, Tang Wen, Glass Lucas M., Sun Jimeng; StageNet: Stage-Aware Neural Networks for Health Risk Prediction; In: Proceedings of The Web Conference 2020 (WebConf 2020); 2020, pp. 530-540. EI:20202508852732 https://dl.acm.org/doi/abs/10.1145/3366423.3380136?casa_token=piXutAPwZRMAAAAA:uGNH_dmy_yjNnDOfRRj4BKc8utzs378PfdffYPIjujnrNggG-R91oI7G3R2mMeBHU8HwXM4F54Qm6Q
  8. He Yuanduo, Chu Xu, Wang Yasha*; Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining; IEEE 36th International Conference on Data Engineering (ICDE 2020), IEEE; 2020. pp. 373-384. WOS:000584252700032, EI:20202308794007 https://ieeexplore.ieee.org/abstract/document/9101736/
  9. Chu Xu, Lin Yang, Wang Yasha*, Wang Xiting, Yu Hailong, Gao Xin, Tong Qi; Distance Metric Learning with Joint Representation Diversification; 37th International Conference on Machine Learning (ICML 2020); 2020. https://proceedings.mlr.press/v119/chu20a.html
  10. Zhang Chaohe, Gao Xin, Ma Liantao, Wang Yasha*, Wang Jiangtao, Tang Wen; GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients; 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 2021. https://www.aaai.org/AAAI21Papers/AAAI-1368.ZhangC.pdf
  11. Ma Liantao, Gao Junyi, Wang Yasha*, Zhang Chaohe, Wang Jiangtao, Ruan Wenjie, Tang Wen, Gao Xin, Ma Xinyu; AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration; 34th AAAI Conference on Artificial Intelligence (AAAI 2020); 2020, 34(01): 825-832. https://ojs.aaai.org/index.php/AAAI/article/view/5427
  12. Feng Yujie, Wang Jiangtao, Wang Yasha, Sumi Helal; Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations[C]// Proceedings of the Web Conference 2021(WebConf 2021). 2021: 183-193. https://dl.acm.org/doi/abs/10.1145/3442381.3449811?casa_token=gUNsLwNx5jwAAAAA:0gUhOlxa1QX9GjH6je1-u40klbmEcVJdFczBXnCkjcfGffB50amq7fwOegnK4MdtHK9993s6sg4Wzw
  13. Kai Yang, Zhaojing Luo*, Jinyang Gao, JunFeng Zhao, Ooi BengChin. and Bing Xie. "LDA-Reg: Knowledge Driven Regularization using External Corpora," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2021.3069861. https://ieeexplore.ieee.org/document/9392360
  14. Yang Kai, Li Xiang, Liu Haifeng, Mei Jing, Xie Guotong, Zhao Junfeng*, Xie Bing, AND Wang Fei; "TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records" AAAI Conference on Artificial Intelligence (AAAI-2017); 2017: 2824-2830. https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14626
  15. 王丰,王亚沙*,王江涛,熊昊一,赵俊峰,张大庆;基于智能手机感知数据的心理压力评估方法;计算机研究与发展;2019, 56(3): 611-622 EI: 20192206986426 https://crad.ict.ac.cn/CN/abstract/abstract3891.shtml
  16. 王亚沙, 初旭, 张莉, 刘宏图; 湖北省及**其他地区COVID-19疫情分析[J]; 中华实验和临床病毒学杂志, 2020, 34(03):241-246. http://www.cqvip.com/qk/97594x/202003/7102596537.html
  17. Jin Yujie, Chu Xu, Wang Yasha*, Zhu Wenwu; Domain Generalization through the Lens of Angular Invariance. the 31st International Joint Conference on Artificial Intelligence (IJCAI-22); 2022
  18. Zhang Chaohe, Chu Xu, Ma Liantao，Zhu Yinghao，Wang Yasha*, Wang Jiangtao and Zhao Junfeng；(2022, August). M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 2418-2428).
  19. Chu Xu, Jin Yujie, Zhu Wenwu, Wang Yasha, Wang Xin*, Zhang Shanghang and Mei Hong; (2022, June). DNA: Domain Generalization with Diversified Neural Averaging. In International Conference on Machine Learning (pp. 4010-4034). PMLR.
  20. 马连韬, 张超贺, 焦贤锋, 王亚沙，唐雯，赵俊峰. Dr. Deep: 基于医疗特征上下文学习的患者健康状态可解释评估[J]. 计算机研究与发展, 2021, 58(12): 2645.
  21. Ma Xinyu, Wang Yasha, Chu Xu, Ma Liantao, Tang Wen, Zhao Junfeng, Yuan Ye and Wang Guoren. Patient Health Representation Learning via Correlational Sparse Prior of Medical Features. IEEE Transactions on Knowledge and Data Engineering, 2022
  22. Ma Junyi, Wang Yasha, Wang Xuanliang, Wang Jiangtao, Zhao Junfeng; A three-tiered semi supervised MTL mechanism and its application in dating apps; Neural Computing and Applications, 2022: 1-15. WOS: 000895569900003
  23. Ma Junyi, Wang Xuanliang, Wang Yasha*, Wang Jiangtao, Chu Xu, Zhao Junfeng; Enhancing Online Epidemic Supervising System by Compartmental and GRU Fusion Model; Mobile Information Systems 2022. WOS:000863123100020
  24. Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu. Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction. IEEE Transactions on Big Data, 2022
  25. Yang Kai, Xu Yongxin, Zou Peinie, Ding Hongxin, Zhao Junfeng, Wang Yasha, Xie Bing; KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations; 37th AAAI Conference on Artificial Intelligence (AAAI 2023), 2023.
  26. Xu Yongxin, Chu Xu, Yang Kai, Wang Zhiyuan, Zou Peinie, Ding Hongxin, Zhao Junfeng, Wang Yasha, Xie Bing; SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data; In Proceedings of the Web Conference 2023 (WebConf 2023), 2023.
  27. Gao, Junyi, et al. "A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis." arXiv preprint arXiv:2209.07805 (2022).

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