Publications by authors named "Ji Yeong Jeong"
Article Synopsis
- The study focused on creating a machine learning model to predict risk categories for multi-gene assays (MGA) in patients with estrogen receptor-positive (ER+)/HER2- breast cancer, using data from Oncotype DX (ODX) and MammaPrint (MMP).
- It utilized various machine learning techniques, including XGBoost and soft voting among multiple models, achieving high accuracy rates of 84.8% for MMP, 87.9% for ODX, and 86.8% for the combined ensemble model.
- The model showed particularly high predictive accuracy, reaching 95.7% in certain subgroups, suggesting its potential to enhance existing testing methods for risk assessment in this type of breast
Purpose: This study aimed to confirm the mediating effect of job involvement in the relationship between grit and turnover intention among nurses working at university hospitals.
Methods: Participants included 437 nurses from university hospitals located in C city, Gyeongnam. Data were collected from January 8 to 19, 2018, using self-report questionnaires.
[Structural Equation Model for Sleep Quality of Female Shift Work Nurses].
J Korean Acad Nurs
October 2018
Purpose: This study aimed to develop and test a structural model for sleep quality in female shift work nurses. The hypothetical model was constructed on the basis of Spielman's 3P model of insomnia and previous research related to the sleep quality of shift nurses.
Methods: This cross-sectional study used structural equation modeling and recruited 285 female shift work nurses from four general and university hospitals with over 300 beds located in C and J cities in Gyeongsangnamdo.