Factors Affecting Intention to Leave Among ICU Healthcare Professionals in China: Insights from a Cross-Sectional Survey and XGBoost Analysis

Factors Affecting Intention to Leave Among ICU Healthcare Professionals in China: Insights from a Cross-Sectional Survey and XGBoost Analysis

Jiangnan Wu,1,&ast; Chao Zhang,2,&ast; Feng He,3,&ast; Yuan Wang,4 Liangnan Zeng,5 Wei Liu,6 Di Zhao,7 Jingkun Mao,1 Fei Gao8 1Department of Artificial Intelligence, Tianjin University of Technology, Tianjin, People’s Republic of China; 2Sixth Department of Oncology, Hebei General Hospit...

Full description

Bibliographic Details
Main Authors:	Wu J, Zhang C, He F, Wang Y, Zeng L, Liu W, Zhao D, Mao J, Gao F
Format:	Article
Language:	English
Published:	Dove Medical Press 2023-11-01
Series:	Risk Management and Healthcare Policy
Subjects:	icu healthcare professionals intention to leave cross-sectional survey extreme gradient boosting xgboost.
Online Access:	https://www.dovepress.com/factors-affecting-intention-to-leave-among-icu-healthcare-professional-peer-reviewed-fulltext-article-RMHP

Similar Items

An XGBoost based evaluation methodology of product color emotion design
by: Man DING, et al.
Published: (2021-11-01)

Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (n = 11,081)
by: Amita Sharma, et al.
Published: (2020-04-01)

Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms
by: Weizhang Liang, et al.
Published: (2020-05-01)

Augmented Data and XGBoost Improvement for Sales Forecasting in the Large-Scale Retail Sector
by: Alessandro Massaro, et al.
Published: (2021-08-01)

Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm
by: Mingjuan Zhou, et al.
Published: (2022-09-01)

Examining perception of job satisfaction and intention to leave among ICU nurses in China
by: Hong Tao, et al.
Published: (2015-06-01)

A spatiotemporal XGBoost model for PM2.5 concentration prediction and its application in Shanghai
by: Zidong Wang, et al.
Published: (2023-12-01)

Developing and Preliminary Testing of a Machine Learning-Based Platform for Sales Forecasting Using a Gradient Boosting Approach
by: Antonio Panarese, et al.
Published: (2022-10-01)

Automatic Multichannel Electrocardiogram Record Classification Using XGBoost Fusion Model
by: Xiaohong Ye, et al.
Published: (2022-04-01)

A novel feature susceptibility approach for a PEMFC control system based on an improved XGBoost-Boruta algorithm
by: Xinjie Yuan, et al.
Published: (2023-04-01)

Combining K-Means and XGBoost Models for Anomaly Detection Using Log Datasets
by: João Henriques, et al.
Published: (2020-07-01)

A Novel Intelligent Method for Fault Diagnosis of Steam Turbines Based on T-SNE and XGBoost
by: Zhiguo Liang, et al.
Published: (2023-02-01)

Machine learning-based ovarian cancer prediction with XGboost and stochastic gradient boosting models
by: Onural Ozhan, et al.
Published: (2023-03-01)

ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost
by: Setthanun Thongsuwan, et al.
Published: (2021-02-01)

Computation of energy across the type-C piano key weir using gene expression programming and extreme gradient boosting (XGBoost) algorithm
by: Nipun Bansal, et al.
Published: (2023-06-01)

Prediction of the landscape pattern of the Yancheng Coastal Wetland, China, based on XGBoost and the MCE-CA-Markov model
by: Lina Hao, et al.
Published: (2022-12-01)

A Survey On The Intention Of The Nurses' Of Different Generations To Leave Their Job And Profession And Their Organizational And Professional Commitment
by: Semra Mert Haydari, et al.
Published: (2017-01-01)

Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm
by: Diyari Jalal Mussa, et al.
Published: (2019-11-01)

Factors related to steroid treatment responsiveness in thyroid eye disease patients and application of SHAP for feature analysis with XGBoost
by: Jungyul Park, et al.
Published: (2023-01-01)

SeekDoc: Seeking eligible doctors from electronic health record
by: Lu Jiang, et al.
Published: (2021-06-01)

Spatial load forecasting method based on double-layer XGBoost and data enhancement
by: HUANG Dongmei, et al.
Published: (2023-01-01)

Effective Intrusion Detection System Using XGBoost
by: Sukhpreet Singh Dhaliwal, et al.
Published: (2018-06-01)

A Novel Method of Statistical Line Loss Estimation for Distribution Feeders Based on Feeder Cluster and Modified XGBoost
by: Shouxiang Wang, et al.
Published: (2017-12-01)

Uncovering the Impact of Local and Global Interests in Artists on Stock Prices of K-Pop Entertainment Companies: A SHAP-XGBoost Analysis
by: Daeun Yu, et al.
Published: (2023-05-01)

Nurses' Intention to Leave the Profession and Its Related Factors: A Cross-sectional Study
by: Parisa Mohammadi, et al.
Published: (2023-01-01)

Healthcare providers' intention to leave their jobs during COVID‐19 pandemic: A cross‐sectional study
by: Mohammad M. Alnaeem, et al.
Published: (2022-11-01)

Mental health and stress among ICU healthcare professionals in France according to intensity of the COVID-19 epidemic
by: Alexandra Laurent, et al.
Published: (2021-06-01)

Potential of Remote Sensing Images for Soil Moisture Retrieving Using Ensemble Learning Methods in Vegetation-Covered Area
by: Ya Gao, et al.
Published: (2023-01-01)

Prediction of strata behaviors law based on GRU and XGBoost
by: CHAI Jing, et al.
Published: (2022-01-01)

Active Learning-Based XGBoost for Cyber Physical System Against Generic AC False Data Injection Attacks
by: Wenli Xue, et al.
Published: (2020-01-01)

Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter Optimization
by: Seong-Eun Ryu, et al.
Published: (2020-01-01)

Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
by: Tarapong Srisongkram, et al.
Published: (2022-12-01)

FAULT DIAGNOSIS OF UNBALANCED DATA OF CHILLERS BASED ON XGBOOST
by: PAN Jin, et al.
Published: (2021-01-01)

Short- and Medium-Term Power Demand Forecasting with Multiple Factors Based on Multi-Model Fusion
by: Qingqing Ji, et al.
Published: (2022-06-01)

Prediction of Conformance Control Performance for Cyclic-Steam-Stimulated Horizontal Well Using the XGBoost: A Case Study in the Chunfeng Heavy Oil Reservoir
by: Zehao Xie, et al.
Published: (2021-12-01)

Impact of burnout and professional fulfillment on intent to leave among pediatric physicians: The findings of a quality improvement initiative
by: R. Thomas Collins, et al.
Published: (2024-04-01)

Fault Diagnosis of Vibration Sensors Based on Triage Loss Function-Improved XGBoost
by: Chao Fan, et al.
Published: (2023-10-01)

Model-Aware XGBoost Method Towards Optimum Performance of Flexible Distributed Raman Amplifier
by: Anand Prakash, et al.
Published: (2023-01-01)

HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting
by: Farhana Tazmim Pinki, et al.
Published: (2023-09-01)

An application of a supervised machine learning model for predicting life expectancy
by: Brian Aholi Lipesa, et al.
Published: (2023-06-01)