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The integration of multimodal Electronic Health Records (EHR) data has significantly improved clinical predictive capabilities.
Muc-4 evaluation metrics
Nancy Chinchor · 1992
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Deep learning for healthcare: review, opportunities and challenges
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Integrating multimodal information in large pretrained transformers
Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, Amir Zadeh, Chengfeng Mao, Louis-Philippe Morency, and Ehsan Hoque · 2020
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Predicting in-hospital mortality by combining clinical notes with time-series data
Iman Deznabi, Mohit Iyyer, and Madalina Fiterau · 2021
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Collaborative graph learning with auxiliary text for temporal event prediction in healthcare
Chang Lu, Chandan K Reddy, Prithwish Chakraborty, Samantha Kleinberg, and Yue Ning · 2021
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How to leverage multimodal ehr data for better medical predictions?
Bo Yang and Lijun Wu · 2021
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Medpath: Augmenting health risk prediction via medical knowledge paths
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, and Fenglong Ma · 2021
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Medml: fusing medical knowledge and machine learning models for early pediatric covid-19 hospitalization and severity prediction
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Patient health representation learning via correlational sparse prior of medical features
Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, and Guoren Wang · 2022
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Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, and Junfeng Zhao · 2022
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Prism: Leveraging prototype patient representations with feature-missing-aware calibration for ehr data sparsity mitigation, 2024
Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Liantao Ma, and Chengwei Pan · 2022
The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju Patel, Ethan Steinberg, Scott Fleming, Michael A Pfeffer, Jason Fries, and Nigam H Shah · 2023
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Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, and Mike Lewis · 2023
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Vecocare: Visit sequences-clinical notes joint learning for diagnosis prediction in healthcare data
Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, and Bing Xie · 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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Improving medical predictions by irregular multimodal electronic health records modeling
Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, and Linda Ruth Petzold · 2023
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