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AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.

L. Ma, J. Gao, Y. Wang, C. Zhang, J. Wang, W. Ruan, W. Tang, X. Gao, and X. Ma. CoRR, (2019)

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Yuzhao Ma

Characterization of higher order modes in optical fibersY. Ma. Uni Erlangen-Nürnberg, (2009)

Tsie Ma

Jingxiang Ma

Lan Ma

Ma Li

Other publications of authors with the same name

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.L. Ma, C. Zhang, Y. Wang, W. Ruan, J. Wang, W. Tang, X. Ma, X. Gao, and J. Gao. CoRR, (2019)Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset.L. Ma, C. Zhang, J. Gao, X. Jiao, Z. Yu, X. Ma, Y. Wang, W. Tang, X. Zhao, W. Ruan and 1 other author(s). CoRR, (2023)Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation.L. Ma, Y. Wang, G. Peng, C. Zhang, C. Chen, J. Zhao, and J. Wang. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 626-633. IEEE, (2019)MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering.X. Ma, X. Chu, Y. Wang, H. Yu, L. Ma, W. Tang, and J. Zhao. CoRR, (2022)Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration to Mitigate EHR Data Sparsity.Y. Zhu, Z. Wang, L. He, S. Xie, Z. Chen, J. An, L. Ma, and C. Pan. CoRR, (2023)Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients.L. Ma, C. Zhang, J. Gao, X. Jiao, Z. Yu, Y. Zhu, T. Wang, X. Ma, Y. Wang, W. Tang and 3 other author(s). Patterns, 4 (12): 100892 (December 2023)Graph Interpolation via Fast Fused-Gromovization.X. Ma, X. Chu, Y. Wang, Y. Lin, J. Zhao, L. Ma, and W. Zhu. CoRR, (2023)M3Care: Learning with Missing Modalities in Multimodal Healthcare Data.C. Zhang, X. Chu, L. Ma, Y. Zhu, Y. Wang, J. Wang, and J. Zhao. KDD, page 2418-2428. ACM, (2022)AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.L. Ma, J. Gao, Y. Wang, C. Zhang, J. Wang, W. Ruan, W. Tang, X. Gao, and X. Ma. AAAI, page 825-832. AAAI Press, (2020)A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis.J. Gao, Y. Zhu, W. Wang, Y. Wang, W. Tang, and L. Ma. CoRR, (2022)

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Disambiguation of "Ma, Liantao"

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AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.

Please choose a person to relate this publication to

Yuzhao Ma

Tsie Ma

Jingxiang Ma

Lan Ma

Ma Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ma, Liantao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.

Please choose a person to relate this publication to

Yuzhao Ma

Tsie Ma

Jingxiang Ma

Lan Ma

Ma Li

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.