Kyung Sook Hong

Emailhongksewha.ackr

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Utility of arterial to end-tidal carbon dioxide gradient as a severity index in critical care
Hong, K. S., Lee, J. G., Kim, T. Y., Lee, J. M., Park, H., Lee, H., Yang, N. R. & Baik, S. M., Mar 2025, In: American Journal of the Medical Sciences. 369, 3, p. 326-333 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
Comparison of factors influencing the decision to withdraw life-sustaining treatment in intensive care unit patients after implementation of the Life-Sustaining Treatment Act in Korea
Kim, C. J., Hong, K. S., Cho, S. & Park, J., May 2024, In: Acute and Critical Care. 39, 2, p. 294-303 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Scopus citations
Health-related quality of life of patients with aneurysmal subarachnoid hemorrhage who were classified as having “good outcomes”
Yang, N. R., Seo, E. K., Cho, Y., Kim, G. E. & Hong, K. S., Jan 2024, In: Journal of Clinical Neuroscience. 119, p. 143-148 6 p.
Research output: Contribution to journal › Article › peer-review
7 Scopus citations
Integrating ensemble and machine learning models for early prediction of pneumonia mortality using laboratory tests
Baik, S. M., Hong, K. S., Lee, J. M. & Park, D. J., 30 Jul 2024, In: Heliyon. 10, 14, e34525.
Research output: Contribution to journal › Article › peer-review

Open Access
5 Scopus citations
Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19
Baik, S. M., Hong, K. S. & Park, D. J., Aug 2023, In: Clinical Biochemistry. 118, 110584.
Research output: Contribution to journal › Article › peer-review

Open Access
11 Scopus citations

Kyung Sook Hong

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Collaborations and top research areas from the last five years

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Utility of arterial to end-tidal carbon dioxide gradient as a severity index in critical care

Comparison of factors influencing the decision to withdraw life-sustaining treatment in intensive care unit patients after implementation of the Life-Sustaining Treatment Act in Korea

Health-related quality of life of patients with aneurysmal subarachnoid hemorrhage who were classified as having “good outcomes”

Integrating ensemble and machine learning models for early prediction of pneumonia mortality using laboratory tests

Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19

Kyung Sook Hong

Fingerprint

Collaborations and top research areas from the last five years

Research output

Utility of arterial to end-tidal carbon dioxide gradient as a severity index in critical care

Comparison of factors influencing the decision to withdraw life-sustaining treatment in intensive care unit patients after implementation of the Life-Sustaining Treatment Act in Korea

Health-related quality of life of patients with aneurysmal subarachnoid hemorrhage who were classified as having “good outcomes”

Integrating ensemble and machine learning models for early prediction of pneumonia mortality using laboratory tests

Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19