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Won Chul Cha

Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST)

SCHOLARLY PAPERS

2

DOWNLOADS

613

TOTAL CITATIONS

2

Scholarly Papers (2)

1.

Development and Validation of Machine Learning Algorithms for Predicting Personalised Red Blood Cell Demand Among Patients with Thoracic Surgery

Number of pages: 21 Posted: 11 May 2023
Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST), LINEWALKS Inc, Sungkyunkwan University - Department of Thoracic and Cardiovascular Surgery, Sungkyunkwan University - Department of Laboratory Medicine and Genetics, Sungkyunkwan University - Department of Laboratory Medicine and Genetics, Sungkyunkwan University - Department of Laboratory Medicine and Genetics, Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST), University of Ulsan - Department of Biomedical Informatics and Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST)
Downloads 456
Citation 1

Abstract:

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Erythrocyte Transfusion, Thoracic Surgery, Maximum Surgical Blood Order Schedule, Artificial Intelligence

2.

New Learning Needs in Medical Education in the Emerging Era: Developing a Digital Health Curriculum Using a Mixed Method Study

Number of pages: 39 Posted: 17 Jul 2024
Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University - Samsung Medical Center, Sungkyunkwan University - Samsung Medical Center, Sungkyunkwan University - Samsung Advanced Institute of Health Sciences and Technology (SAIHST) and Sungkyunkwan University - Samsung Medical Center
Downloads 157
Citation 1

Abstract:

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digital health, digital health education, curriculum, medical school, interview, survey, qualitative research, quantitative study, Delphi method