Using machine learning to identify factors associated with practice location of the healthcare workforce-Reference-Cited by-同舟云学术

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Using machine learning to identify factors associated with practice location of the healthcare workforce

Published:2022-02-04 Issue: Volume: Page:
ISSN:1445-6354
Container-title:Rural and Remote Health
language:
Short-container-title:RRH

Author:

Bounsanga ,Lipsky ,Hon ,Licari ,Ruttinger ,Salt ,Hung

Publisher

Rural and Remote Health

Subject

Public Health, Environmental and Occupational Health,Medicine (miscellaneous),Health (social science),Emergency Medical Services

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Practice outcomes for the first decade of Rural Pharmacy Education (RPHARM) Program graduates;BMC Medical Education;2024-08-23

2. Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical Practice and Research;Creative Nursing;2024-04-30

3. A comparison of rural and regional work locations and speciality choices between graduates from the University of Wollongong and all Australian medical schools using the Medical Schools Outcomes Database;Australian Journal of Rural Health;2023-12-12

4. Factors associated with selection of practice in primary care and rural health among medical and nursing students in China;Australian Journal of Primary Health;2022-09-09

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