Rankings
Publications
Search Publications
Cited-by Search
Sources
Publishers
Scholars
Scholars
Top Cited Scholars
Organizations
About
Scilit
About Us
Advisory Board
Data Sources
Career
Support / Contact
User Guide
Publisher User
Search Function
Rankings Function
API Resource
Scilit Knowledge
Metrics
Scilit Recognitions
Publications Classification
Media
News
Blog
Login
Register
Home
Publications
Using machine learning to identify factors associated with practice location of the healthcare workforce
Home
Publications
Using machine learning to identify factors associated with practice location of the healthcare workforce
Using machine learning to identify factors associated with practice location of the healthcare workforce
Authors:
JB
Jerry Bounsanga
Jerry Bounsanga
ML
Martin S Lipsky
Martin S Lipsky
EH
Eric S Hon
Eric S Hon
FL
Frank W Licari
Frank W Licari
CR
Clark Ruttinger
Clark Ruttinger
AS
Andrew Salt
Andrew Salt
MH
Man Hung
Man Hung
Article Alert
Citation Alert
Add to Library
Cite
Download
Share
Download
Open Access
Publisher website
Google Scholar
4 February 2022
journal article
research article
Published by
Rural and Remote Health
in
Rural and Remote Health
Vol. 22
(1)
,
7050
DOI:
10.22605/rrh7050
PMID:
35119906
Abstract
RRH: Rural and Remote Health. Published article number: 7050 - Using machine learning to identify factors associated with practice location of the healthcare workforce
Keywords
DENTAL
HEALTH
CARE
LOCATION
MACHINE
LEARNING
NURSING
USA
WORKFORCE
PHARMACY
PHYSICIAN
NORTH
AMERICA
GEOGRAPHIC
REGIONS
SERVICE
REFORM
POLICY
EDUCATION
PROFESSIONAL
Related articles
Cited
Cited by 8 articles
Scroll to top