Clinical nurses' work-life balance prediction due to patient safety incidents using classification and regression tree analysis: a secondary data analysis.

"Declarations Ethics approval and consent to participateThis study was approved by Ajou University Hospital’s Institutional Review Board (IRB) (approval id: AJIRB-MED-SUR-21–585). All methods were conducted in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki).The participants who provided written consent confirmed their understanding of the study’s purpose and method. Further, they were assured that they could refuse to participate at any time during the study without any disadvantage and that the collected data would be kept anonymous and used only for research purposes. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

"Funding This study was financially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (NRF2019R1A2C1085924), the Center for Women in Science, Engineering, and Technology. Grant funded by the MIST under the Program for Returners into R&D (WISET-2020–561), Basic Science Research Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (2021R1A6A1A10044950), and the Institute of Information & communications Technology Planning & Evaluation (IITP) under the Artificial Intelligence Convergence Innovation Human Resources Development (RS-2023–00255968) grant funded by the Korea government (MSIT)."