Lucero, Robert J.

Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach

Lindberg, D. S., Prosperi, M., Bjarnadottir, R. I., Thomas, J., Crane, M., Chen, Z., Shear, K., Solberg, L. M., Snigurska, U. A., Wu, Y., et al. (2020) · International Journal of Medical Informatics

Balance, Gait, and Falls PreventionMachine Learning in Healthcare

Cited by 95

Impact of the CMS No-Pay Policy on Hospital-Acquired Fall Prevention Related Practice Patterns

Fehlberg, E. A., Lucero, R. J., Weaver, M. T., McDaniel, A. M., Chandler, M., Richey, P. A., Mion, L. C., & Shorr, R. I. (2017) · Innovation in Aging

Balance, Gait, and Falls PreventionGeriatric Care and Nursing Homes

Cited by 49

Interest in using Mobile Technology to Help Self-Manage Alcohol use among Persons Living with the Human Immunodeficiency Virus: A Florida Cohort Cross-Sectional Study

Sharpe, J. D., Zhou, Z., Escobar-Viera, C. G., Morano, J. P., Lucero, R. J., Ibañez, G. E., Hart, M., Cook, C. L., & Cook, R. L. (2018) · Substance Abuse

Mobile Health and mHealth ApplicationsSubstance Abuse Treatment and Outcomes

Cited by 19

Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine

Xu, J., Guo, Y., Wang, F., Xu, H., Lucero, R., Bian, J., & Prosperi, M. (2022) · BMJ Open

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 6