Grants per year
Personal profile
Research Interests
His research interests include machine learning, natural language processing, time series analysis, integrative genomic analysis and big data analytics, with a focus on medical and clinical applications. He is the Chief AI Scientist at Northwestern University Clinical and Translational Sciences Institute (NUCATS).
Education/Academic qualification
PhD, MIT
… → 2015
Keywords
- Autism Spectrum Disorders
- Bioinformatics
- Biomedical Ontologies
- Blood Cancer (leukemia and lymphomas)
- Computational Biology
- Critical Care
- Genomics
- Medical Informatics
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Natural Language Processing
Medicine & Life Sciences
Unified Medical Language System
Medicine & Life Sciences
Intensive care units
Engineering & Materials Science
Semantics
Medicine & Life Sciences
Factorization
Engineering & Materials Science
Learning
Medicine & Life Sciences
Breast Neoplasms
Medicine & Life Sciences
Area Under Curve
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2015 2022
Enhancing Stroke Prehospital and Emergency Evaluation and Delivery (E-SPEED)
Ankenman, B. E., Luo, Y., Perry, O., Prabhakaran, S., Richards, C. T. & Lee, J.
Agency for Healthcare Research and Quality
7/1/18 → 4/30/22
Project: Research project
Bayesian Generative Methods for Extracting and Modeling Relations in EHR Narratives
9/1/17 → 8/31/19
Project: Research project
Intensive care units
Factorization
Medicine
Tensors
Thesauri
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms
Luo, Y. & Thompson, W. K.
Joan and Sanford I. Weill Medical College of Cornell University, National Institute of General Medical Sciences
9/1/17 → 8/31/19
Project: Research project
Manuscripts
Phenotype
Research
Direction compound
Weight Optimization and Alternative Linkage Algorithm Implementation
11/1/16 → 2/28/18
Project: Research project
Supervisory personnel
Electronic mail
Lead
Hardware
Processing
Research Output 2006 2019
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms
Zhong, Y., Rasmussen, L., Deng, Y., Pacheco, J., Smith, M. E., Starren, J. B., Wei, W. Q., Speltz, P., Denny, J., Walton, N., Hripcsak, G., Chute, C. G. & Luo, Y., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1143-1146 4 p. 8621240. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Phenotype
Electronic Health Records
Proxy
Macros
Learning systems
1
Citation
(Scopus)
Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs)
Li, Y., Jin, R. & Luo, Y., Jan 1 2019, In : Journal of the American Medical Informatics Association. 26, 3, p. 262-268 7 p.Research output: Contribution to journal › Article
Learning
Dependency (Psychology)
Datasets
1
Citation
(Scopus)
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
Yao, L., Mao, C. & Luo, Y., Apr 4 2019, In : BMC Medical Informatics and Decision Making. 19, 71.Research output: Contribution to journal › Article
Open Access
Learning
Neural Networks (Computer)
Unified Medical Language System
Natural Language Processing
Informatics
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
Mao, C., Yao, L., Pan, Y., Luo, Y. & Zeng, Z., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1209-1214 6 p. 8621107. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Thoracic Diseases
Classifiers
Thorax
X-Rays
X rays
1
Citation
(Scopus)
Developing a portable natural language processing based phenotyping system
Sharma, H., Mao, C., Zhang, Y., Vatani, H., Yao, L., Zhong, Y., Rasmussen, L., Jiang, G., Pathak, J. & Luo, Y., Apr 4 2019, In : BMC Medical Informatics and Decision Making. 19, 78.Research output: Contribution to journal › Article
Open Access
Natural Language Processing
Information Systems
Patient Discharge Summaries
Obesity
Unified Medical Language System