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Does machine learning improve prediction accuracy of the Endoscopic Third Ventriculostomy Success Score? A contemporary Hydrocephalus Clinical Research Network cohort study

Crossref DOI link: https://doi.org/10.1007/s00381-024-06667-3

Published Online: 2024-12-10

Published Print: 2025-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Malhotra, Armaan K.

Kulkarni, Abhaya V.

Verhey, Leonard H.

Reeder, Ron W.

Riva-Cambrin, Jay

Jensen, Hailey

Pollack, Ian F.

McDowell, Michael

Rocque, Brandon G.

Tamber, Mandeep S.

McDonald, Patrick J.

Krieger, Mark D.

Pindrik, Jonathan A.

Isaacs, Albert M.

Hauptman, Jason S.

Browd, Samuel R.

Whitehead, William E.

Jackson, Eric M.

Wellons, John C. III

Hankinson, Todd C.

Chu, Jason

Limbrick, David D. Jr.

Strahle, Jennifer M.

Kestle, John R. W.

,
Funding

Funding for this research was provided by:

Amercian College of Surgeons Resident Research Scholarship
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Text and Data Mining valid from 2024-12-10

Version of Record valid from 2024-12-10
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Article History

Received: 3 September 2024

Accepted: 9 November 2024

First Online: 10 December 2024

Declarations

:

: The authors declare no competing interests.

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