Chen, Yixin
Washington University in St. Louis
7 papers on CoChatORCID 0000-0002-3704-4432
Most cited papers
- Verified
Compressing Neural Networks with the Hashing Trick
Chen, W., Wilson, J. T., Tyree, S., Weinberger, K. Q., & Chen, Y. (2015) · arXiv
Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques
Cited by 974
- Verified
Deep-learning model for predicting 30-day postoperative mortality
Fritz, B. A., Cui, Z., Zhang, M., He, Y., Chen, Y., Kronzer, A., Ben Abdallah, A., King, C. R., & Avidan, M. S. (2019) · British Journal of Anaesthesia
Machine Learning in HealthcareCardiac, Anesthesia and Surgical Outcomes
Cited by 127
- Verified
An integrated data mining approach to real-time clinical monitoring and deterioration warning
Mao, Y., Chen, W., Chen, Y., Lu, C., Kollef, M., & Bailey, T. (2012) · Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Healthcare Technology and Patient MonitoringArtificial Intelligence in Healthcare
Cited by 76
- Verified
Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study
Fritz, B. A., Chen, Y., Murray-Torres, T. M., Gregory, S., Ben Abdallah, A., Kronzer, A., McKinnon, S. L., Budelier, T., Helsten, D. L., Wildes, T. S., et al. (2018) · BMJ Open
Machine Learning in HealthcareCardiac, Anesthesia and Surgical Outcomes
Cited by 42
- Verified
Predicting self-intercepted medication ordering errors using machine learning
King, C. R., Abraham, J., Fritz, B. A., Cui, Z., Galanter, W., Chen, Y., & Kannampallil, T. (2021) · PLOS ONE
Patient Safety and Medication ErrorsElectronic Health Records Systems
Cited by 22
- Verified
M3NetFlow: A multi-scale multi-hop graph AI model for integrative multi-omic data analysis
Zhang, H., Goedegebuure, S. P., Ding, L., DeNardo, D., Fields, R. C., Province, M., Chen, Y., Payne, P., & Li, F. (2025) · iScience
Bioinformatics and Genomic NetworksComputational Drug Discovery Methods
Cited by 12
- Verified
Fast flux discriminant for large-scale sparse nonlinear classification
Chen, W., Chen, Y., & Weinberger, K. Q. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
Stochastic Gradient Optimization TechniquesFace and Expression Recognition
Cited by 12
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free