Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas?

MLA

Iben M. Ricket, et al. “Can Diverse Population Characteristics Be Leveraged in a Machine Learning Pipeline to Predict Resource Intensive Healthcare Utilization among Hospital Service Areas?” BMC Health Services Research, vol. 22, no. 1, June 2022, pp. 1–12. EBSCOhost, https://doi.org/10.1186/s12913-022-08154-4.

APA

Iben M. Ricket, Todd A. MacKenzie, Jennifer A. Emond, Kusum L. Ailawadi, & Jeremiah R. Brown. (2022). Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas? BMC Health Services Research, 22(1), 1–12. https://doi.org/10.1186/s12913-022-08154-4

Chicago

Iben M. Ricket, Todd A. MacKenzie, Jennifer A. Emond, Kusum L. Ailawadi, and Jeremiah R. Brown. 2022. “Can Diverse Population Characteristics Be Leveraged in a Machine Learning Pipeline to Predict Resource Intensive Healthcare Utilization among Hospital Service Areas?” BMC Health Services Research 22 (1): 1–12. doi:10.1186/s12913-022-08154-4.