Shahrestani, S., Shlobin, N., Gendreau, J. L., Brown, N. J., Himstead, A., Patel, N. A., . . . Chu, J. (2023). Developing Predictive Models to Anticipate Shunt Complications in 33,248 Pediatric Patients with Shunted Hydrocephalus Utilizing Machine Learning. Pediatric Neurosurgery, 58(4), 206. https://doi.org/10.1159/000531754
Chicago Style (17th ed.) CitationShahrestani, Shane, et al. "Developing Predictive Models to Anticipate Shunt Complications in 33,248 Pediatric Patients with Shunted Hydrocephalus Utilizing Machine Learning." Pediatric Neurosurgery 58, no. 4 (2023): 206. https://doi.org/10.1159/000531754.
MLA (9th ed.) CitationShahrestani, Shane, et al. "Developing Predictive Models to Anticipate Shunt Complications in 33,248 Pediatric Patients with Shunted Hydrocephalus Utilizing Machine Learning." Pediatric Neurosurgery, vol. 58, no. 4, 2023, p. 206, https://doi.org/10.1159/000531754.