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Updated: Jul 27, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

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在韩国使用机器学习开发护士营业额预测模型

Seong-Kwang Kim1, Eun-Joo Kim1, Hye-Kyeong Kim1

  • 1Department of Nursing, Gangneung-Wonju National University, Wonju City 20403, Republic of Korea.

Healthcare (Basel, Switzerland)
|June 10, 2023
PubMed
概括

这项研究开发了一种机器学习模型,用于预测韩国护士的流动量. 随机森林模型实现了98.9%的准确性,确定工资是关键因素.

关键词:
机器学习是机器学习.护士 护士 护士 护士预测 预测 预测 预测随机的森林随机的森林公司营业额 营业额

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