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Open-Set Recognition of Breast Cancer Treatments


Jan 09, 2022
Alexander Cao, Diego Klabjan, Yuan Luo

* 22 pages, 9 figures and 9 tables 

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Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer


Dec 24, 2021
Francisco Y Cai, Chengsheng Mao, Yuan Luo


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Natural language processing to identify lupus nephritis phenotype in electronic health records


Dec 20, 2021
Yu Deng, Jennifer A. Pacheco, Anh Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo


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Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients


Dec 15, 2021
Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo


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SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes


Nov 19, 2021
Yiming Li, Sanjiv J. Shah, Donna Arnett, Ryan Irvin, Yuan Luo

* Submitted to the 12th International Workshop on Biomedical and Health Informatics (BHI 2021) 

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Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population


Nov 18, 2021
Songzi Liu, Yuan Luo


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Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes


Nov 09, 2021
Jiyoung Shin, Yikuan Li, Yuan Luo


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Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records


Oct 31, 2021
Yiqing Zhao, Yuan Luo


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Aggregation Delayed Federated Learning


Aug 17, 2021
Ye Xue, Diego Klabjan, Yuan Luo


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Non-Convex Optimization with Spectral Radius Regularization


Feb 22, 2021
Adam Sandler, Diego Klabjan, Yuan Luo

* 12 pages 

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PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning


Dec 15, 2020
Yuan Luo, Chengsheng Mao

* Accepted by 35th AAAI Conference on Artificial Intelligence (AAAI 2021) 

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Towards Expressive Graph Representation


Oct 12, 2020
Chengsheng Mao, Liang Yao, Yuan Luo


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A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports


Sep 03, 2020
Yikuan Li, Hanyin Wang, Yuan Luo

* 10 pages, 3 figures, submitted to BIBM2020 

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Open-Set Recognition with Gaussian Mixture Variational Autoencoders


Jun 03, 2020
Alexander Cao, Yuan Luo, Diego Klabjan

* 12 pages including 8 figures and 4 tables, plus 6 pages of supplementary material 

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Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings


Jan 04, 2020
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo

* HEALTHINF 2020 
* 9 pages 

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Conditional Hierarchical Bayesian Tucker Decomposition


Dec 12, 2019
Adam Sandler, Diego Klabjan, Yuan Luo

* 20 pages, added model evaluation and log-likelihood sections 

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Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction


Oct 15, 2019
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo


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Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare


Oct 14, 2019
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo


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KG-BERT: BERT for Knowledge Graph Completion


Sep 11, 2019
Liang Yao, Chengsheng Mao, Yuan Luo


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Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension


Aug 20, 2019
Ye Xue, Diego Klabjan, Yuan Luo


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Symmetric Cross Entropy for Robust Learning with Noisy Labels


Aug 16, 2019
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey

* ICCV2019 

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Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension


Aug 12, 2019
Ye Xue, Diego Klabjan, Yuan Luo


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Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks


Apr 10, 2019
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang


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Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study


Apr 02, 2019
Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion, Jyotishman Pathak

* Under review with AMIA 2019 

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MedGCN: Graph Convolutional Networks for Multiple Medical Tasks


Mar 31, 2019
Chengsheng Mao, Liang Yao, Yuan Luo


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ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays


Mar 31, 2019
Chengsheng Mao, Liang Yao, Yuan Luo


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Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms


Nov 15, 2018
Yizhen Zhong, Luke Rasmussen, Yu Deng, Jennifer Pacheco, Maureen Smith, Justin Starren, Wei-Qi Wei, Peter Speltz, Joshua Denny, Nephi Walton, George Hripcsak, Christopher G Chute, Yuan Luo

* 4 pages, accepted by IEEE BIBM 2018 as short paper 

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