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The development of electronic health records (EHR) systems has enabled the collection of a vast amount of digitized patient data.
Neural-network-based resampling method for detecting diabetes mellitus
Long-Sheng Chen and Sheng-Jhe Cai · 2015
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Doctor ai: Predicting clinical events via recurrent neural networks
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F Stewart, and Jimeng Sun · 2016
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Retain: An interpretable predictive model for healthcare using reverse time attention mechanism
Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, and Walter Stewart · 2016
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Patient subtyping via time-aware lstm networks
Inci M Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K Jain, and Jiayu Zhou · 2017
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Gram: graph-based attention model for healthcare representation learning
Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F Stewart, and Jimeng Sun · 2017
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Dipole: Diagnosis prediction in healthcare via attention-based bidirectional recurrent neural networks
Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, and Jing Gao · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Interpretable representation learning for healthcare via capturing disease progression through time
Tian Bai, Shanshan Zhang, Brian L Egleston, and Slobodan Vucetic · 2018
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Retainvis: Visual analytics with interpretable and interactive recurrent neural networks on electronic medical records
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, and Jaegul Choo · 2018
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Risk prediction on electronic health records with prior medical knowledge
Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, and Aidong Zhang · 2018
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Kame: Knowledge-based attention model for diagnosis prediction in healthcare
Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, and Jing Gao · 2018
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Health-atm: A deep architecture for multifaceted patient health record representation and risk prediction
Tengfei Ma, Cao Xiao, and Fei Wang · 2018
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Raim: Recurrent attentive and intensive model of multimodal patient monitoring data
Yanbo Xu, Siddharth Biswal, Shriprasad R Deshpande, Kevin O Maher, and Jimeng Sun · 2018
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Dcmn: Double core memory network for patient outcome prediction with multimodal data
Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, and Fei Wang · 2019
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Prediction of breast cancer from imbalance respect using cluster-based undersampling method
Jue Zhang, Li Chen, Fazeel Abid, et al · 2019
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Medgan: Medical image translation using gans
Karim Armanious, Chenming Jiang, Marc Fischer, Thomas Küstner, Tobias Hepp, Konstantin Nikolaou, Sergios Gatidis, and Bin Yang · 2020
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Stagenet: Stage-aware neural networks for health risk prediction
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M Glass, and Jimeng Sun · 2020
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Behrt: transformer for electronic health records
Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaine, Rema Ramakrishnan, Dexter Canoy, Yajie Zhu, Kazem Rahimi, and Gholamreza Salimi-Khorshidi · 2020
Cited alongside, same era.
Hitanet: Hierarchical time-aware attention networks for risk prediction on electronic health records
Junyu Luo, Muchao Ye, Cao Xiao, and Fenglong Ma · 2020
Cited alongside, same era.
Rare disease prediction by generating quality-assured electronic health records
Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, and Jing Zhou · 2020
Cited alongside, same era.
Concare: Personalized clinical feature embedding via capturing the healthcare context
Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, and Junyi Gao · 2020
Cited alongside, same era.
Democratizing ehr analyses with fiddle: a flexible data-driven preprocessing pipeline for structured clinical data
Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Danai Koutra, Michael W Sjoding, and Jenna Wiens · 2020
Cited alongside, same era.
Accsleepnet: An axis-aware hybrid deep fusion model for sleep stage classification using wrist-worn accelerometer data
Guanjie Huang, Ye Yuan, Guohong Cao, and Fenglong Ma · 2022
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Hi-behrt: Hierarchical transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaine, Dexter Canoy, Thomas Lukasiewicz, and Kazem Rahimi · 2022
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Metacare++: Meta-learning with hierarchical subtyping for cold-start diagnosis prediction in healthcare data
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, and Xiaolin Zheng · 2022
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Promptehr: Conditional electronic healthcare records generation with prompt learning
Zifeng Wang and Jimeng Sun · 2022
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Towards federated covid-19 vaccine side effect prediction
Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, and Fenglong Ma · 2022
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Lsan: Modeling long-term dependencies and short-term correlations with hierarchical attention for risk prediction
Muchao Ye, Junyu Luo, Cao Xiao, and Fenglong Ma · 2020
Cited alongside, same era.
Eva: Generating longitudinal electronic health records using conditional variational autoencoders
Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Cao Xiao, and Jimeng Sun · 2021
Cited alongside, same era.
Concad: Contrastive learning-based cross attention for sleep apnea detection
Guanjie Huang and Fenglong Ma · 2021
Cited alongside, same era.
Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, and Degui Zhi · 2021
Cited alongside, same era.
Mufasa: Multimodal fusion architecture search for electronic health records
Zhen Xu, David R So, and Andrew M Dai · 2021
Cited alongside, same era.
How to leverage multimodal ehr data for better medical predictions?
Bo Yang and Lijun Wu · 2021
Cited alongside, same era.
Medpath: Augmenting health risk prediction via medical knowledge paths
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, and Fenglong Ma · 2021
Cited alongside, same era.
Later among the works it cites.
Time-aware context-gated graph attention network for clinical risk prediction
Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, and Hui Xiong · 2022
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Twin: Personalized clinical trial digital twin generation
Trisha Das, Zifeng Wang, and Jimeng Sun · 2023
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A self-inspected adaptive smote algorithm (sasmote) for highly imbalanced data classification in healthcare
Tanapol Kosolwattana, Chenang Liu, Renjie Hu, Shizhong Han, Hua Chen, and Ying Lin · 2023
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Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy
Kewei Lyu, Yu Tian, Yong Shang, Tianshu Zhou, Ziyue Yang, Qianghua Liu, Xi Yao, Ping Zhang, Jianghua Chen, and Jingsong Li · 2023
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A multimodal contrastive federated learning for digital healthcare
DN Sachin, B Annappa, Sateesh Ambasange, and Alan E Tony · 2023
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Hierarchical pretraining on multimodal electronic health records
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, and Fenglong Ma · 2023
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Kerprint: local-global knowledge graph enhanced diagnosis prediction for retrospective and prospective interpretations
Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, and Bing Xie · 2023
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Transformehr: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records
Zhichao Yang, Avijit Mitra, Weisong Liu, Dan Berlowitz, and Hong Yu · 2023
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Ontology-aware prescription recommendation in treatment pathways using multi-evidence healthcare data
Zijun Yao, Bin Liu, Fei Wang, Daby Sow, and Ying Li · 2023
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Automated fusion of multimodal electronic health records for better medical predictions
Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, and Fenglong Ma · 2024
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Meddiffusion: Boosting health risk prediction via diffusion-based data augmentation
Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, and Fenglong Ma · 2024
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