E-LIB Suche - Ergebnisse für: Nam, Kug Hyun

1

Long-term oncologic outcomes between surgical T4 and T3 in ..:

Jeon, Youngbae ; Nam, Kug Hyun ; Choi, Seok Won...
European Journal of Surgical Oncology. 49 (2023) 2 - p. e123-e124 , 2023

Link: https://doi.org/10.1016/..

2

Predictive factors affecting prolonged postoperative ileus ..:

Jeon, Youngbae ; Nam, Kug Hyun ; Choi, Seok Won...
European Journal of Surgical Oncology. 49 (2023) 2 - p. e123 , 2023

Link: https://doi.org/10.1016/..

3

The efficacy of oxidized regenerated cellulose (SurgiGuard®..:

Nam, Kug Hyun ; Lee, Joon-Hyop ; Chung, Yoo Seung...
PLOS ONE. 17 (2022) 5 - p. e0267694 , 2022

Link: https://doi.org/10.1371/..

4

Comparison of Long-Term Oncologic Outcomes Between Surgical..:

Jeon, Youngbae ; Nam, Kug Hyun ; Choi, Seok Won..
Frontiers in Oncology. 12 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

5

The impact of Model for End-Stage Liver Disease score on de..:

Lee, Doo-Ho ; Park, Yeon Ho ; Choi, Seok Won...
Annals of Surgical Treatment and Research. 101 (2021) 6 - p. 360 , 2021

Link: https://doi.org/10.4174/..

6

Morphologic Study of Gastric Sleeves by CT Volumetry at One..:

Nam, Kug Hyun ; Choi, Seung Joon ; Kim, Seong Min
Journal of Metabolic and Bariatric Surgery. 9 (2020) 2 - p. 42 , 2020

Link: https://doi.org/10.17476..

7

Machine learning based prediction of recurrence after curat..:

Jeon, Youngbae ; Kim, Young-Jae ; Jeon, Jisoo...
PLOS ONE. 18 (2023) 12 - p. e0290141 , 2023

Link: https://doi.org/10.1371/..

8

Machine learning techniques for prediction of recurrence af..:

Jeon, Youngbae ; Kim, Young-Jae ; Jeon, Jisoo...
European Journal of Surgical Oncology. 48 (2022) 2 - p. e99-e100 , 2022

Link: https://doi.org/10.1016/..

9

Comparison of Long-Term Oncologic Outcomes Between Surgical..:

Jeon, Youngbae ; Nam, Kug Hyun ; Choi, Seok Won..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334016/. , 2022

Link: http://www.ncbi.nlm.nih...

10

Eight high-ranked features for rectal cancer recurrence aft..:

Youngbae Jeon ; Young-Jae Kim ; Jisoo Jeon...
doi:10.1371/journal.pone.0290141.g002. , 2023

Link: https://doi.org/10.1371/..

11

Schematic flow chart of the study:

Youngbae Jeon ; Young-Jae Kim ; Jisoo Jeon...
doi:10.1371/journal.pone.0290141.g003. , 2023

Link: https://doi.org/10.1371/..

12

The baseline patient demographics:

Youngbae Jeon ; Young-Jae Kim ; Jisoo Jeon...
doi:10.1371/journal.pone.0290141.t001. , 2023

Link: https://doi.org/10.1371/..

13

Machine learning based prediction of recurrence after curat..:

Youngbae Jeon ; Young-Jae Kim ; Jisoo Jeon...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10723658/?tool=EBI. , 2023

Link: https://doaj.org/article..

14

Feature importance depending on machine learning models:

Youngbae Jeon ; Young-Jae Kim ; Jisoo Jeon...
doi:10.1371/journal.pone.0290141.g005. , 2023

Link: https://doi.org/10.1371/..

15

Data file:

Youngbae Jeon ; Young-Jae Kim ; Jisoo Jeon...
doi:10.1371/journal.pone.0290141.s001. , 2023

Link: https://doi.org/10.1371/..