Research Output per year
Fingerprint Dive into the research topics where Christopher Chute is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 12 Similar Profiles
Electronic Health Records
Medicine & Life Sciences
Terminology
Medicine & Life Sciences
Semantics
Medicine & Life Sciences
Semantic Web
Engineering & Materials Science
Unified Medical Language System
Medicine & Life Sciences
Ontology
Engineering & Materials Science
Systematized Nomenclature of Medicine
Medicine & Life Sciences
Natural Language Processing
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1985 2019
Alignflow: Learning from multiple domains via normalizing flows
Grover, A., Chute, C., Shu, R., Cao, Z. & Ermon, S., Jan 1 2019.Research output: Contribution to conference › Paper
learning
guarantee
Maximum likelihood estimation
Recovery
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms
Zhong, Y., Rasmussen, L., Deng, Y., Pacheco, J., Smith, M., Starren, J., Wei, W. Q., Speltz, P., Denny, J., Walton, N., Hripcsak, G., Chute, C. & 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
Clinical Data: Sources and Types, Regulatory Constraints, Applications
The Biomedical Data Translator Consortium, Jan 1 2019, In : Clinical and translational science.Research output: Contribution to journal › Comment/debate
Open Access
Information Storage and Retrieval
Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
Park, A., Chute, C., Rajpurkar, P., Lou, J., Ball, R. L., Shpanskaya, K., Jabarkheel, R., Kim, L. H., McKenna, E., Tseng, J., Ni, J., Wishah, F., Wittber, F., Hong, D. S., Wilson, T. J., Halabi, S., Basu, S., Patel, B. N., Lungren, M. P., Ng, A. Y. & 1 others, , Jun 5 2019, In : JAMA network open. 2, 6, p. e195600Research output: Contribution to journal › Article
Open Access
Intracranial Aneurysm
Learning
Angiography
Aneurysm
Artificial Intelligence
Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network
the eMERGE Consortium, Sep 5 2019, In : American journal of human genetics. 105, 3, p. 588-605 18 p.Research output: Contribution to journal › Article
Electronic Health Records
Genetic Testing
Clinical Decision Support Systems
Precision Medicine
Gene Targeting