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인공지능을 이용한 신규간호사 이직률 예측

Author

최주희, 박혜경, 박지은, 이창민, 최병관

Journal Title

한국융합학회논문지

Publication Year

2018

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Summary

This study predicts the turnover rate of new nurses using a multiple neural network based on TensorFlow and suggests strategic human resource management plans. Analysis of nurse data from a university hospital in Busan between 2010-2017 revealed a prediction accuracy of 88.7% for turnover within one year and 79.8% for early turnover within three years, with reasons for resignation varying by career stage.

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