Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2045-709X
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization ; volume:28 ; number:1 ; day:17 ; month:7 ; year:2020 ; pages:1-13 ; date:12.2020
Chiropractic & manual therapies ; 28, Heft 1 (17.7.2020), 1-13, 12.2020

Creator
Coleman, Brian C.
Fodeh, Samah
Lisi, Anthony J.
Goulet, Joseph L.
Corcoran, Kelsey L.
Bathulapalli, Harini
Brandt, Cynthia A.
Contributor
SpringerLink (Online service)

DOI
10.1186/s12998-020-00335-4
URN
urn:nbn:de:101:1-2020092221232848159650
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:47 AM CEST

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Associated

  • Coleman, Brian C.
  • Fodeh, Samah
  • Lisi, Anthony J.
  • Goulet, Joseph L.
  • Corcoran, Kelsey L.
  • Bathulapalli, Harini
  • Brandt, Cynthia A.
  • SpringerLink (Online service)

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