Machine learning predicts risk of cerebrospinal fluid shunt failure in children: a study from the hydrocephalus clinical research network
Child's Nervous System
January 2021
Disclaimer: Publications may either be freely available or require a fee to view (or access) on the journal’s website.
Full Citation
Hale AT, Riva-Cambrin J, Wellons JC, Jackson EM, Kestle JRW, Naftel RP, Hankinson TC, Shannon CN; Hydrocephalus Clinical Research Network. Machine learning predicts risk of cerebrospinal fluid shunt failure in children: a study from the hydrocephalus clinical research network. Childs Nerv Syst. 2021 Jan 30. doi: 10.1007/s00381-021-05061-7. Epub ahead of print. PMID: 33515058.
Tags
Journal Article Type
- Paper Resulting From PCORI-Funded Research Study (with results)
- Other Results
Journal Publication Name
- Child's Nervous System
Literature Type
- PCORI Research