Research Output per year
Fingerprint Dive into the research topics where Industrial Engineering and Management Sciences PhD Program is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Factorization
Engineering & Materials Science
Intensive care units
Engineering & Materials Science
Natural Language Processing
Medicine & Life Sciences
Critical Care
Medicine & Life Sciences
Unified Medical Language System
Medicine & Life Sciences
Acute Kidney Injury
Medicine & Life Sciences
Electronic Health Records
Medicine & Life Sciences
Learning
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Bruce E Ankenman
- Industrial Engineering and Management Sciences - Professor, Nieson Harris Professor
- Industrial Engineering and Management Sciences PhD Program
- Mechanical Engineering PhD Program
- Segal Design Institute - Director of Segal Institute
Person: Academic
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 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
2
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