Development of a Nurse Turnover Prediction Model in Korea Using Machine Learning.

Kim, Seong-Kwang; Kim, Eun-Joo; Kim, Hye-Kyeong; Song, Sung-Sook; Park, Bit-Na; Jo, Kyoung-Won

Kim, Seong-Kwang; Kim, Eun-Joo; Kim, Hye-Kyeong; Song, Sung-Sook; Park, Bit-Na; Jo, Kyoung-Won.

Afiliación

Kim SK; Department of Nursing, Gangneung-Wonju National University, Wonju City 20403, Republic of Korea.
Kim EJ; Department of Nursing, Gangneung-Wonju National University, Wonju City 20403, Republic of Korea.
Kim HK; Department of Nursing, Gangneung-Wonju National University, Wonju City 20403, Republic of Korea.
Song SS; Department of Nursing, Inha University, Incheon 22212, Republic of Korea.
Park BN; Department of Nursing, Gangneung-Wonju National University, Wonju City 20403, Republic of Korea.
Jo KW; Department of Nursing, Gangneung-Wonju National University, Wonju City 20403, Republic of Korea.

Healthcare (Basel) ; 11(11)2023 May 28.

Article en En | MEDLINE | ID: mdl-37297723

Palabras clave

machine learning; nurses; prediction; random forest; turnover

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Healthcare (Basel) Año: 2023 Tipo del documento: Article Pais de publicación: Suiza

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