If you made any changes in Pure, your changes will be visible here soon.

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

Fingerprint Dive into the research topics where Yuan Luo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 8 Similar Profiles
Factorization Engineering & Materials Science
Natural Language Processing Medicine & Life Sciences
Intensive care units Engineering & Materials Science
Unified Medical Language System Medicine & Life Sciences
Semantics Medicine & Life Sciences
Area Under Curve Medicine & Life Sciences
Learning Medicine & Life Sciences
Critical Care Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2015 2022

Research Output 2006 2019

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 journalArticle

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 proceedingConference contribution

Phenotype
Electronic Health Records
Proxy
Macros
Learning systems
1 Citation (Scopus)
Learning
Dependency (Psychology)
Datasets
1 Citation (Scopus)
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 proceedingConference contribution

Thoracic Diseases
Classifiers
Thorax
X-Rays
X rays