Mona Choi
Orcid: 0000-0003-4694-0359
  According to our database1,
  Mona Choi
  authored at least 11 papers
  between 2009 and 2024.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  2024
Patient Generated Health Data Among Older Adults with Cancer in Home Setting: Scoping Review.
    
  
    Proceedings of the Innovation in Applied Nursing Informatics, 2024
    
  
Machine Learning-Based Prediction Models of Mortality for Intensive Care Unit Patients Using Nursing Records.
    
  
    Proceedings of the Innovation in Applied Nursing Informatics, 2024
    
  
Development of a Mapping Table for Nursing Notes Based on Nurses' Concerns in ICU Patients.
    
  
    Proceedings of the Innovation in Applied Nursing Informatics, 2024
    
  
  2022
Mobile health platform based on user-centered design to promote exercise for patients with peripheral artery disease.
    
  
    BMC Medical Informatics Decis. Mak., 2022
    
  
Risk Prediction Models for Mortality using Nursing Records in Intensive Care Patients: A Systematic Review.
    
  
    Proceedings of the AMIA 2022, 2022
    
  
  2021
Factors associated with nurses' user resistance to change of electronic health record systems.
    
  
    BMC Medical Informatics Decis. Mak., 2021
    
  
Development of Home-Based Exercise Mobile Application for Patients with Peripheral Artery Disease.
    
  
    Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021
    
  
  2018
Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review.
    
  
    BMC Medical Informatics Decis. Mak., 2018
    
  
  2016
Nursing Students' Satisfaction with Mobile Academic Electronic Medical Records for Undergraduate Clinical Practicum.
    
  
    Proceedings of the Nursing Informatics 2016 - eHealth for All: Every Level Collaboration, 2016
    
  
  2013
Nursing Critical Patient Severity Classification System Predicts Outcomes in Patients Admitted to Surgical Intensive Care Units: Use of Data from Clinical Data Repository.
    
  
    Proceedings of the MEDINFO 2013, 2013
    
  
  2009
    Int. J. Medical Informatics, 2009