Deep learning on electronic medical records identifies distinct subphenotypes of diabetic kidney disease driven by genetic variations in the Rho pathway.

MLA

Paranjpe, Ishan, et al. “Deep Learning on Electronic Medical Records Identifies Distinct Subphenotypes of Diabetic Kidney Disease Driven by Genetic Variations in the Rho Pathway.” MedRxiv : The Preprint Server for Health Sciences, Sept. 2023. EBSCOhost, https://doi.org/10.1101/2023.09.06.23295120.

APA

Paranjpe, I., Wang, X., Anandakrishnan, N., Haydak, J. C., Van Vleck, T., DeFronzo, S., Li, Z., Mendoza, A., Liu, R., Fu, J., Forrest, I., Zhou, W., Lee, K., O’Hagan, R., Dellepiane, S., Menon, K. M., Gulamali, F., Kamat, S., Gusella, G. L., … Azeloglu, E. U. (2023). Deep learning on electronic medical records identifies distinct subphenotypes of diabetic kidney disease driven by genetic variations in the Rho pathway. MedRxiv : The Preprint Server for Health Sciences. https://doi.org/10.1101/2023.09.06.23295120

Chicago

Paranjpe, Ishan, Xuan Wang, Nanditha Anandakrishnan, Jonathan C Haydak, Tielman Van Vleck, Stefanie DeFronzo, Zhengzhe Li, et al. 2023. “Deep Learning on Electronic Medical Records Identifies Distinct Subphenotypes of Diabetic Kidney Disease Driven by Genetic Variations in the Rho Pathway.” MedRxiv : The Preprint Server for Health Sciences, September. doi:10.1101/2023.09.06.23295120.