An ensemble model for predicting dispositions of emergency department patients

Article Properties
Abstract
Cite
Kuo, Kuang-Ming, et al. “An Ensemble Model for Predicting Dispositions of Emergency Department Patients”. BMC Medical Informatics and Decision Making, vol. 24, no. 1, 2024, https://doi.org/10.1186/s12911-024-02503-5.
Kuo, K.-M., Lin, Y.-L., Chang, C. S., & Kuo, T. J. (2024). An ensemble model for predicting dispositions of emergency department patients. BMC Medical Informatics and Decision Making, 24(1). https://doi.org/10.1186/s12911-024-02503-5
Kuo, Kuang-Ming, Yih-Lon Lin, Chao Sheng Chang, and Tin Ju Kuo. “An Ensemble Model for Predicting Dispositions of Emergency Department Patients”. BMC Medical Informatics and Decision Making 24, no. 1 (2024). https://doi.org/10.1186/s12911-024-02503-5.
Kuo KM, Lin YL, Chang CS, Kuo TJ. An ensemble model for predicting dispositions of emergency department patients. BMC Medical Informatics and Decision Making. 2024;24(1).
Journal Categories
Medicine
Medicine (General)
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Medicine
Medicine (General)
Medical technology
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Refrences Analysis
Category Category Repetition
Medicine: Medicine (General)10
Science: Mathematics: Instruments and machines: Electronic computers. Computer science6
Medicine: Public aspects of medicine4
Medicine: Internal medicine: Medical emergencies. Critical care. Intensive care. First aid4
Medicine: Medicine (General): Medical technology4
Medicine: Internal medicine: Special situations and conditions2
Medicine: Medicine (General): Computer applications to medicine. Medical informatics2
Science: Science (General): Cybernetics: Information theory2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Medicine: Nursing1
Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene1
Social Sciences1
Medicine1
Science1
Science: Science (General)1
Science: Biology (General)1
Science: Biology (General): Cytology1
Science: Biology (General): Genetics1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Technology: Mechanical engineering and machinery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Engineering (General). Civil engineering (General)1
Science: Mathematics: Probabilities. Mathematical statistics1
Science: Mathematics1
The category Medicine: Medicine (General) 10 is the most frequently represented among the references in this article. It primarily includes studies from Internal and Emergency Medicine and International Journal of Nursing Studies. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year