Developing Predictive Models to Anticipate Shunt Complications in 33,248 Pediatric Patients with Shunted Hydrocephalus Utilizing Machine Learning. - Shahrestani, Shane; Shlobin, Nathan; Gendreau, Julian L.; Brown, Nolan J; Himstead, Alexander; Patel, Neal A; Pierzchajlo, Noah; Chakravarti, Sachiv; Lee, Darrin Jason; Chiarelli, Peter A.; Bullis, Carli L.; Chu, Jason (Pediatric Neurosurgery, 2023)