Yuan Luo

发表

Text Mining in Cancer Gene and Pathway Prioritization

Peter Szolovits, Yuan Luo, G. Riedlinger, 2014, Cancer informatics.

Text Mining in Cancer Gene and Pathway Prioritization

Peter Szolovits, Yuan Luo, G. Riedlinger, 2014, Cancer informatics.

Solutions for Unexpected Challenges Encountered when Integrating Research Genomics Results into the EHR

L. Rasmussen, R. Chisholm, J. Starren, 2020, ACI Open.

Automatic lymphoma classi fi cation with sentence subgraph mining from pathology reports

Peter Szolovits, Yuan Luo, Ephraim P Hochberg, 2014 .

Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis

D. Klabjan, Yuan Luo, Adam Sandler, 2019, 1911.12426.

Brief Communication Traditional Chinese medicine clinical records classification with BERTand domain specific corpora

Yin Zhang, Yuan Luo, Chengsheng Mao, 2019 .

Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms

Blair D. Sullivan, S. Grant, B. Voight, 2021, bioRxiv.

Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis

D. Klabjan, Yuan Luo, Adam Sandler, 2019, 1911.12426.

MedGCN: Medication recommendation and lab test imputation via graph convolutional networks

Yuan Luo, Chengsheng Mao, Liang Yao, 2019, J. Biomed. Informatics.

Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks

Jessica S. Ancker, Guoqian Jiang, Jennifer A. Pacheco, 2019, J. Biomed. Informatics.

Performance-weighted-voting model: an ensemble machine learning method for cancer type classification using whole-exome sequencing mutation

Yawei Li, Yuan Luo, Yuan Luo, 2020, Quant. Biol..

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

Hanyin Wang, Yikuan Li, Yuan Luo, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Semi-Supervised Learning to Identify UMLS Semantic Relations

Yuan Luo, Ozlem Uzuner, Ozlem Uzuner, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Improving Medical NLI Using Context-Aware Domain Knowledge

Philip S. Yu, Yuan Luo, Shaika Chowdhury, 2020, STARSEM.

Identifying Breast Cancer Distant Recurrences from Electronic Health Records Using Machine Learning

Yuan Luo, Zexian Zeng, Ankita Roy, 2019, Journal of Healthcare Informatics Research.

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

Jessica S. Ancker, Jyotishman Pathak, Guoqian Jiang, 2019, AMIA.

Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk

Hanyin Wang, Yikuan Li, John Wilkins, 2019, MedInfo.

KG-BERT: BERT for Knowledge Graph Completion pdf

Chengsheng Mao, Liang Yao, Yuan Luo, 2019, ArXiv.

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

Yuan Luo, Chengsheng Mao, Liang Yao, 2022, ArXiv.

Towards Expressive Graph Representation pdf

Chengsheng Mao, Liang Yao, Yuan Luo, 2020, ArXiv.

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

Agnes S. Sundaresan, Justin H. Gundelach, Nephi A. Walton, 2023, Scientific Reports.

Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records

Peter Szolovits, Yuan Luo, Peter Szolovits, 2016, Biomedical informatics insights.

Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network

Joshua C. Denny, Chunhua Weng, Wei-Qi Wei, 2019, J. Biomed. Informatics.

IRTCI: Item Response Theory for Categorical Imputation

Adrienne S. Kline, Yuan Luo, 2023, ArXiv.

Open-Set Recognition with Gaussian Mixture Variational Autoencoders pdf

Diego Klabjan, Yuan Luo, Alexander Cao, 2020, AAAI.

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

J. Pathak, J. Pacheco, L. Rasmussen, 2023, J. Biomed. Informatics.

Using Machine Learning to Predict Laboratory Test Results.

Peter Szolovits, Yuan Luo, Anand S Dighe, 2016, American journal of clinical pathology.

Question Answering Experiments and Resources

Sue Felshin, Federico Mora, Özlem Uzuner, 2006, TREC.

International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study

Jeffrey S. Morris, Jeffrey G. Klann, R. Bellazzi, 2020, medRxiv.

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

Chengsheng Mao, Yuan Luo, Yuan Luo, 2020, AAAI.

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

Yuan Luo, Hanyin Wang, Yikuan Li, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Non-Convex Optimization with Spectral Radius Regularization pdf

Diego Klabjan, Yuan Luo, Adam Sandler, 2021, ArXiv.

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions

George Hripcsak, Chunhua Weng, Jennifer A. Pacheco, 2021, BMC Medical Informatics and Decision Making.

Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings

Philip S. Yu, Chenwei Zhang, Yuan Luo, 2019, HEALTHINF.

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

Diego Klabjan, Yuan Luo, Ye Xue, 2019, 2019 IEEE International Conference on Big Data (Big Data).