Effective Analysis of Inpatient Satisfaction: The Random Forest Algorithm

Author:

Li ChengchengORCID,Liao Conghui,Meng Xuehui,Chen Honghua,Chen Weiling,Wei Bo,Zhu Pinghua

Publisher

Informa UK Limited

Subject

Health Policy,Pharmacology, Toxicology and Pharmaceutics (miscellaneous),Social Sciences (miscellaneous),Medicine (miscellaneous)

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1. Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model;Frontiers in Public Health;2024-04-18

2. Evaluating Drivers of the Patient Experience Triangle: Stress, Anxiety, and Frustration;International Journal of Environmental Research and Public Health;2023-04-04

3. Machine learning to predict the antimicrobial activity of cold atmospheric plasma-activated liquids;Machine Learning: Science and Technology;2023-03-01

4. Design and Development of a Big Data Platform for Disease Burden Based on the Spark Engine;Computational Intelligence and Neuroscience;2023-02-06

5. Application and Research of Machine Learning in Traditional Chinese Medicine;2022 International Conference on Cloud Computing, Big Data and Internet of Things (3CBIT);2022-10

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