Development of a Nurse Turnover Prediction Model in Korea Using Machine Learning
Author:
Affiliation:
1. Department of Nursing, Gangneung-Wonju National University, Wonju City 20403, Republic of Korea
2. Department of Nursing, Inha University, Incheon 22212, Republic of Korea
Abstract
Funder
Korean Academy of Nursing Administration Research
Publisher
MDPI AG
Subject
Health Information Management,Health Informatics,Health Policy,Leadership and Management
Link
https://www.mdpi.com/2227-9032/11/11/1583/pdf
Reference27 articles.
1. Korean Statistical Information Service (2022). Status of Medical Personnel by Type of Medical Institution, Korean Statistical Information Service. Available online: https://kosis.kr/statHtml/statHtml.do?orgId=354&tblId=DT_HIRA4A.
2. Related Factors of Turnover Intention among Korean Hospital Nurses: A Systematic Review and Meta-Analysis;Lee;Korean J. Adult Nurs.,2018
3. Korean Hospital Nurses Association (2022, December 19). Hospital Nurses Staffing State Survey. Korean: Seoul Hospital Nurses Association, 2022. Available online: http://khna.or.kr.
4. Nurse turnover and perceived causes and consequences: A preliminary study at private hospitals in Indonesia;Dewanto;BMC Nurs.,2018
5. Effects of Meaning of Work, Job Embeddedness, and Workplace Bullying on Turnover Intention of Nurses in a University Hospital;Sim;J. Korean Acad. Nurs. Adm.,2021
Cited by 2 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. Predicting Nurse Turnover for Highly Imbalanced Data Using the Synthetic Minority Over-Sampling Technique and Machine Learning Algorithms;Healthcare;2023-12-15
2. A Supervised Machine Learning Method for Predicting the Employees Turnover Decisions;2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS);2023-08-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3