Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-709X
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
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
- Urheber
-
Coleman, Brian C.
Fodeh, Samah
Lisi, Anthony J.
Goulet, Joseph L.
Corcoran, Kelsey L.
Bathulapalli, Harini
Brandt, Cynthia A.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12998-020-00335-4
- URN
-
urn:nbn:de:101:1-2020092221232848159650
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
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Beteiligte
- 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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