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24. Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis. Nguyen AV; Blears EE; Ross E; Lall RR; Ortega-Barnett J Neurosurg Focus; 2018 Nov; 45(5):E5. PubMed ID: 30453459 [TBL] [Abstract][Full Text] [Related]
26. Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia. Zhang Y; Ma Y Comput Biol Med; 2019 Mar; 106():33-39. PubMed ID: 30665140 [TBL] [Abstract][Full Text] [Related]
27. Correction to: Sleep-disordered breathing: an under-recognized problem in infants with myelomeningocele defects regardless of timing of repair. Bendel-Stenzel E; Linabery AM; Jorgenson A; Ferrara TB; Spaulding AB J Perinatol; 2019 Oct; 39(10):1434. PubMed ID: 31471577 [TBL] [Abstract][Full Text] [Related]
28. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477 [TBL] [Abstract][Full Text] [Related]
29. RETRACTED: Uncalibrated dynamic visual servoing via multivariate adaptive regression splines and improved incremental extreme learning machine. Zhou Z; Zhang R; Zhu Z ISA Trans; 2019 Sep; 92():298-314. PubMed ID: 30851958 [TBL] [Abstract][Full Text] [Related]
30. Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry. Goyal A; Ngufor C; Kerezoudis P; McCutcheon B; Storlie C; Bydon M J Neurosurg Spine; 2019 Oct; 31(4):568-578. PubMed ID: 31174185 [TBL] [Abstract][Full Text] [Related]
31. Correction to: Copper signalling: causes and consequences. Kardos J; Héja L; Simon Á; Jablonkai I; Kovács R; Jemnitz K Cell Commun Signal; 2018 Nov; 16(1):80. PubMed ID: 30419921 [TBL] [Abstract][Full Text] [Related]
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