Yuan Luo
Orcid: 0000-0003-0195-7456Affiliations:
- Northwestern University, Chicago, IL, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 2015)
According to our database1,
Yuan Luo
authored at least 134 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on twitter.com
-
on orcid.org
-
on github.com
On csauthors.net:
Bibliography
2024
J. Am. Medical Informatics Assoc., January, 2024
Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study.
J. Am. Medical Informatics Assoc., January, 2024
npj Digit. Medicine, 2024
2023
Transportability of bacterial infection prediction models for critically ill patients.
J. Am. Medical Informatics Assoc., December, 2023
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease.
J. Biomed. Informatics, August, 2023
Special issue on fairness and inclusion in biomedical informatics research: technical and social perspectives.
J. Biomed. Informatics, May, 2023
Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries.
J. Am. Medical Informatics Assoc., April, 2023
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J. Biomed. Informatics, March, 2023
J. Am. Medical Informatics Assoc., February, 2023
J. Am. Medical Informatics Assoc., January, 2023
Artif. Intell. Medicine, January, 2023
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers.
npj Digit. Medicine, 2023
CoRR, 2023
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Natural language processing to identify lupus nephritis phenotype in electronic health records.
BMC Medical Informatics Decis. Mak., December, 2022
Genom. Proteom. Bioinform., October, 2022
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays.
IEEE Trans. Medical Imaging, 2022
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
npj Digit. Medicine, 2022
npj Digit. Medicine, 2022
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.
BMC Medical Informatics Decis. Mak., 2022
Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants.
BMC Medical Informatics Decis. Mak., 2022
SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics, 2022
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks.
J. Biomed. Informatics, 2022
J. Am. Medical Informatics Assoc., 2022
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR, 2022
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets.
CoRR, 2022
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Briefings Bioinform., 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Evaluation of ICU Severity Scores and Mortality Prediction by Race and Ethnicity: A Machine Learning Approach Using MIMIC-IV.
Proceedings of the AMIA 2022, 2022
2021
Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements.
BMC Medical Informatics Decis. Mak., 2021
Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench.
J. Am. Medical Informatics Assoc., 2021
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.
J. Am. Medical Informatics Assoc., 2021
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer.
CoRR, 2021
Natural language processing to identify lupus nephritis phenotype in electronic health records.
CoRR, 2021
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients.
CoRR, 2021
BMC Bioinform., 2021
A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder.
Artif. Intell. Medicine, 2021
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
COVID Vaccine and Cardiovascular Risks: A Natural Language Analysis of Vaccine Adverse Event Reports.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Unsupervised clustering analysis of SARS-Cov-2 population structure reveals six major subtypes at early stage across the world.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Performance-weighted-voting model: an ensemble machine learning method for cancer type classification using whole-exome sequencing mutation.
Quant. Biol., 2020
Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data.
BMC Medical Informatics Decis. Mak., 2020
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.
BMC Medical Informatics Decis. Mak., 2020
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.
J. Biomed. Informatics, 2020
Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults.
J. Biomed. Informatics, 2020
Supervised subgraph augmented non-negative matrix factorization for interpretable manufacturing time series data analytics.
IISE Trans., 2020
Bioinform., 2020
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network.
Artif. Intell. Medicine, 2020
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling.
Proceedings of the Machine Learning for Healthcare Conference, 2020
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
A Predictive Model for Parkinson's Disease Reveals Candidate Gene Sets for Progression Subtype.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.
Proceedings of the AMIA 2020, 2020
Unsupervised learning for systemic lupus erythematosus subtype identification: electronic health record vs registry data.
Proceedings of the AMIA 2020, 2020
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.
Proceedings of the AMIA 2020, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements.
BMC Medical Informatics Decis. Mak., 2019
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks.
BMC Medical Informatics Decis. Mak., 2019
BMC Medical Informatics Decis. Mak., 2019
Mach. Learn. Knowl. Extr., 2019
Identifying Breast Cancer Distant Recurrences from Electronic Health Records Using Machine Learning.
J. Heal. Informatics Res., 2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
J. Biomed. Informatics, 2019
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
J. Biomed. Informatics, 2019
Traditional Chinese medicine clinical records classification with BERT and domain specific corpora.
J. Am. Medical Informatics Assoc., 2019
Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs).
J. Am. Medical Informatics Assoc., 2019
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks.
CoRR, 2019
Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization.
Bioinform., 2019
Artif. Intell. Medicine, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.
Proceedings of the AMIA 2019, 2019
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.
Proceedings of the AMIA 2019, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data.
J. Am. Medical Informatics Assoc., 2018
Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
J. Am. Medical Informatics Assoc., 2018
CoRR, 2018
Using natural language processing and machine learning to identify breast cancer local recurrence.
BMC Bioinform., 2018
Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
Proceedings of the AMIA 2018, 2018
2017
J. Biomed. Informatics, 2017
Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations.
Briefings Bioinform., 2017
Proceedings of the AMIA 2017, 2017
2016
Automatic identification and extraction of design patterns of EHR-driven phenotyping algorithms.
Proceedings of the AMIA 2016, 2016
Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Towards unified biomedical modeling with subgraph mining and factorization algorithms.
PhD thesis, 2015
Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.
J. Am. Medical Informatics Assoc., 2015
2014
Research and applications: Automatic lymphoma classification with sentence subgraph mining from pathology reports.
J. Am. Medical Informatics Assoc., 2014
Proceedings of the AMIA 2014, 2014
2008
J. Am. Medical Informatics Assoc., 2008
2007
J. Am. Medical Informatics Assoc., 2007
2006
Proceedings of the Fifteenth Text REtrieval Conference, 2006