Cite
Using Random Forest Models to Identify Correlates of a Diabetic Peripheral Neuropathy Diagnosis from Electronic Health Record Data.
MLA
DuBrava, Sarah, et al. “Using Random Forest Models to Identify Correlates of a Diabetic Peripheral Neuropathy Diagnosis from Electronic Health Record Data.” Pain Medicine, vol. 18, no. 1, Jan. 2017, pp. 107–15. EBSCOhost, https://doi.org/10.1093/pm/pnw096.
APA
DuBrava, S., Mardekian, J., Sadosky, A., Bienen, E. J., Parsons, B., Hopps, M., & Markman, J. (2017). Using Random Forest Models to Identify Correlates of a Diabetic Peripheral Neuropathy Diagnosis from Electronic Health Record Data. Pain Medicine, 18(1), 107–115. https://doi.org/10.1093/pm/pnw096
Chicago
DuBrava, Sarah, Jack Mardekian, Alesia Sadosky, E. Jay Bienen, Bruce Parsons, Markay Hopps, and John Markman. 2017. “Using Random Forest Models to Identify Correlates of a Diabetic Peripheral Neuropathy Diagnosis from Electronic Health Record Data.” Pain Medicine 18 (1): 107–15. doi:10.1093/pm/pnw096.