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
Research interests
- Autism Spectrum Disorders
- Bioinformatics
- Biomedical Ontologies
- Blood Cancer (leukemia and lymphomas)
- Computational Biology
- Critical Care
- Genomics
- Medical Informatics
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- 6 Similar Profiles
Factorization
Engineering & Materials Science
Intensive care units
Engineering & Materials Science
Natural Language Processing
Medicine & Life Sciences
Critical Care
Medicine & Life Sciences
Electronic Health Records
Medicine & Life Sciences
Learning systems
Engineering & Materials Science
Unified Medical Language System
Medicine & Life Sciences
Acute Kidney Injury
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2015 2020
An In Silico, Medical Record-based Model for Understanding the INitiation of Autoimmune Events (IMMUNE)
Furmanchuk, A., Kho, A. N., Luo, Y., Sosman, J. A. & Walunas, T. L.
National Institute of Arthritis and Musculoskeletal and Skin Diseases
9/17/19 → 8/31/20
Project: Research project
Computer Simulation
Medical Records
Autoimmune Diseases
Precision Medicine
Electronic Health Records
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 → 8/31/20
Project: Research project
Manuscripts
Phenotype
Research
Direction compound
Bayesian Generative Methods for Extracting and Modeling Relations in EHR Narratives
9/1/17 → 8/31/20
Project: Research project
Intensive care units
Factorization
Medicine
Tensors
Thesauri
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 → 5/2/19
Project: Research project
Research Output 2006 2020
Supervised subgraph augmented non-negative matrix factorization for interpretable manufacturing time series data analytics
Sun, H., Jin, R. & Luo, Y., Jan 2 2020, In : IISE Transactions. 52, 1, p. 120-131 12 p.Research output: Contribution to journal › Article
Factorization
Time series
Splines
Defects
Cancer classification and pathway discovery using non-negative matrix factorization
Zeng, Z., Vo, A. H., Mao, C., Clare, S. E., Khan, S. A. & Luo, Y., Aug 1 2019, In : Journal of Biomedical Informatics. 96, 103247.Research output: Contribution to journal › Article
Factorization
Mutation
Neoplasms
Classifiers
Support vector machines
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
3
Citations
(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
2
Citations
(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