Albers, David

Next-generation phenotyping of electronic health records

Hripcsak, G., & Albers, D. J. (2013) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 795

Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes

Woldaregay, A. Z., Årsand, E., Walderhaug, S., Albers, D., Mamykina, L., Botsis, T., & Hartvigsen, G. (2019) · Artificial Intelligence in Medicine

Diabetes Management and ResearchArtificial Intelligence in Healthcare

Cited by 358

Relationship Between Nursing Documentation and Patients' Mortality

Collins, S. A., Cato, K., Albers, D., Scott, K., Stetson, P. D., Bakken, S., & Vawdrey, D. K. (2013) · American Journal of Critical Care

Nursing Diagnosis and DocumentationMachine Learning in Healthcare

Cited by 157

Development and validation of early warning score system: A systematic literature review

Fu, L.-H., Schwartz, J., Moy, A., Knaplund, C., Kang, M.-J., Schnock, K. O., Garcia, J. P., Jia, H., Dykes, P. C., Cato, K., et al. (2020) · Journal of Biomedical Informatics

Healthcare Technology and Patient MonitoringSepsis Diagnosis and Treatment

Cited by 102

Identifying and mitigating biases in EHR laboratory tests

Pivovarov, R., Albers, D. J., Sepulveda, J. L., & Elhadad, N. (2014) · Journal of Biomedical Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 91

Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial

Rossetti, S. C., Dykes, P. C., Knaplund, C., Cho, S., Withall, J., Lowenthal, G., Albers, D., Lee, R. Y., Jia, H., Bakken, S., et al. (2025) · Nature Medicine

Healthcare Technology and Patient MonitoringMachine Learning in Healthcare

Cited by 54

Temporal trends of hemoglobin A1c testing

Pivovarov, R., Albers, D. J., Hripcsak, G., Sepulveda, J. L., & Elhadad, N. (2014) · Journal of the American Medical Informatics Association

Healthcare cost, quality, practicesClinical Laboratory Practices and Quality Control

Cited by 41

A statistical dynamics approach to the study of human health data: Resolving population scale diurnal variation in laboratory data

Albers, D. J., & Hripcsak, G. (2010) · Physics Letters A

Complex Systems and Time Series AnalysisMental Health Research Topics

Cited by 36

Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events

Fu, L.-H., Knaplund, C., Cato, K., Perotte, A., Kang, M.-J., Dykes, P. C., Albers, D., & Collins Rossetti, S. (2021) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 14

Delay-induced uncertainty for a paradigmatic glucose–insulin model

Karamched, B., Hripcsak, G., Albers, D., & Ott, W. (2021) · Chaos: An Interdisciplinary Journal of Nonlinear Science

Chaos control and synchronizationMathematical Dynamics and Fractals

Cited by 12

Delay-induced uncertainty in the glucose-insulin system: Pathogenicity for obesity and type-2 diabetes mellitus

Karamched, B. R., Hripcsak, G., Leibel, R. L., Albers, D., & Ott, W. (2022) · Frontiers in Physiology

Chaos control and synchronizationPancreatic function and diabetes

Cited by 7