Cite
Abstract P261: Machine Learning-Enabled Prediction of Long-Term Stroke Recurrence Using Data From Electronic Health Records
MLA
Vida Abedi, et al. “Abstract P261: Machine Learning-Enabled Prediction of Long-Term Stroke Recurrence Using Data From Electronic Health Records.” Stroke, vol. 52, Mar. 2021. EBSCOhost, https://doi.org/10.1161/str.52.suppl_1.p261.
APA
Vida Abedi, Ayesha Khan, Christoph J. Griessenauer, Ramin Zand, Jiang Li, Durgesh Chaudhary, Shima Shahjouei, & Venkatesh Avula. (2021). Abstract P261: Machine Learning-Enabled Prediction of Long-Term Stroke Recurrence Using Data From Electronic Health Records. Stroke, 52. https://doi.org/10.1161/str.52.suppl_1.p261
Chicago
Vida Abedi, Ayesha Khan, Christoph J. Griessenauer, Ramin Zand, Jiang Li, Durgesh Chaudhary, Shima Shahjouei, and Venkatesh Avula. 2021. “Abstract P261: Machine Learning-Enabled Prediction of Long-Term Stroke Recurrence Using Data From Electronic Health Records.” Stroke 52 (March). doi:10.1161/str.52.suppl_1.p261.