Lu, Chenyang

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

Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study

Cos, H., Li, D., Williams, G., Chininis, J., Dai, R., Zhang, J., Srivastava, R., Raper, L., Sanford, D., Hawkins, W., et al. (2021) · Journal of Medical Internet Research

Pancreatic and Hepatic Oncology ResearchArtificial Intelligence in Healthcare

Cited by 63

Integrating machine learning predictions for perioperative risk management: towards an empirical design of a flexible-standardized risk assessment tool

Abraham, J., Bartek, B., Meng, A., Ryan King, C., Xue, B., Lu, C., & Avidan, M. S. (2023) · Journal of Biomedical Informatics

Artificial Intelligence in Healthcare and EducationCardiac, Anesthesia and Surgical Outcomes

Cited by 50

Temporal Associations Between EHR-Derived Workload, Burnout, and Errors: a Prospective Cohort Study

Lou, S. S., Lew, D., Harford, D. R., Lu, C., Evanoff, B. A., Duncan, J. G., & Kannampallil, T. (2022) · Journal of General Internal Medicine

Healthcare professionals’ stress and burnoutElectronic Health Records Systems

Cited by 46

A randomized trial of palliative care discussions linked to an automated early warning system alert.

Picker, D., Dans, M., Heard, K., Bailey, T., Chen, Y., Lu, C., & Kollef, M. H. (2017) · Critical Care Medicine

Palliative Care and End-of-Life IssuesPalliative and Oncologic Care

Cited by 24

Adaptive Data Replication in Real-Time Reliable Edge Computing for Internet of Things

Wang, C., Gill, C., & Lu, C. (2020) · 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)

IoT and Edge/Fog ComputingDistributed systems and fault tolerance

Cited by 18

Characterizing the macrostructure of electronic health record work using raw audit logs: an unsupervised action embeddings approach

Lou, S. S., Liu, H., Harford, D., Lu, C., & Kannampallil, T. (2023) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 13