Corey, Kristin
Duke University
6 papers on CoChatORCID 0000-0002-7158-1215
Most cited papers
- Verified
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study
Sendak, M. P., Ratliff, W., Sarro, D., Alderton, E., Futoma, J., Gao, M., Nichols, M., Revoir, M., Yashar, F., Miller, C., et al. (2020) · JMIR Medical Informatics
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 287
- Verified
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): a retrospective, single-site study
Corey, K. M., Kashyap, S., Lorenzi, E., Lagoo-Deenadayalan, S. A., Heller, K., Whalen, K., Balu, S., Heflin, M. T., McDonald, S. R., Swaminathan, M., et al. (2018) · PLOS Medicine
Machine Learning in HealthcareCardiac, Anesthesia and Surgical Outcomes
Cited by 204
- Verified
A Path for Translation of Machine Learning Products into Healthcare Delivery
Sendak, M., D’Arcy, J., Kashyap, S., Gao, M. C., Nichols, M., Corey, K., Ratliff, W., & Balu, S. (2020) · EMJ Innovations
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 172
- Verified
Machine learning for early detection of sepsis: an internal and temporal validation study
Bedoya, A. D., Futoma, J., Clement, M. E., Corey, K., Brajer, N., Lin, A., Simons, M. G., Gao, M., Nichols, M., Balu, S., et al. (2020) · JAMIA Open
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 109
- Verified
Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction
Small, A. M., Yang, T.-Y., Itoh, S., Thériault, S., Dufresne, L., Kurosawa, R., Komuro, I., Matsuda, K., Vy, H. M. T., Farber-Eger, E. H., et al. (2026) · Nature Genetics
Cardiac Valve Diseases and TreatmentsGenetic Associations and Epidemiology
Cited by 18
- Verified
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
Sendak, M., Sirdeshmukh, G., Ochoa, T., Premo, H., Tang, L., Niederhoffer, K., Reed, S., Deshpande, K., Sterrett, E., Bauer, M., et al. (2022) · arXiv
Data Quality and ManagementElectronic Health Records Systems
Cited by 10
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