Zobrazeno 1 - 10
of 368
pro vyhledávání: '"Se Heon Kim"'
Autor:
Hanlim Choi, Jin Young Lee, Younghoon Sul, Se Heon Kim, Jin Bong Ye, Jin Suk Lee, Soo Young Yoon, Junepill Seok, Jung Hee Choi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-6 (2024)
Abstract We investigated the clinical implications of the mean corpuscular volume (MCV) in patients with major trauma. This single-center retrospective review included 2021 trauma patients admitted to the intensive care unit between January 2016 and
Externí odkaz:
https://doaj.org/article/6c769d07c4a0412d80ce69551dc05f96
Autor:
Jin Suk Lee, Jin Young Lee, Younghoon Sul, Se Heon Kim, Jin Bong Ye, Su Young Yoon, Junepill Seok, Jonghee Han, Jung Hee Choi, Hong Rye Kim, Yook Kim
Publikováno v:
Journal of International Medical Research, Vol 51 (2023)
Traumatic portal vein injury is rare, but the associated mortality rate ranges from 50% to 70%. The management of this injury is difficult and remains controversial. In this case report, we describe the successful endovascular treatment of an obstruc
Externí odkaz:
https://doaj.org/article/bb7ed550c2a44bce8e0779fb430b574a
Autor:
Se Heon Kim, Young Hoon Sul, Jin Young Lee, Jin Bong Ye, Jin Suk Lee, Soo Young Yoon, Joong Suck Kim
Publikováno v:
Journal of Acute Care Surgery, Vol 10, Iss 2, Pp 68-71 (2020)
Patients with severe lung injury and hemorrhagic shock, may develop acute respiratory failure syndrome during resuscitation, and may require extracorporeal membrane oxygenation (ECMO) support to ensure adequate oxygenation to sustain life. In this ca
Externí odkaz:
https://doaj.org/article/c3ffc64a5f944cc58ee069d8fbdc4ddb
Autor:
Jin Young Lee, Young Hoon Sul, Se Heon Kim, Jin Bong Ye, Jin Suk Lee, Hanlim Choi, Su Young Yoon, Jung Hee Choi
Publikováno v:
Journal of International Medical Research, Vol 49 (2021)
Objective We aimed to identify the risk factors for ventilator-associated pneumonia in patients admitted to critical care after a torso injury. Methods We retrospectively evaluated 178 patients with torso injury aged >15 years who were intubated in t
Externí odkaz:
https://doaj.org/article/bd38cac4da224642a8138d43af65d12f
Autor:
Seyeon Park, Chang Gon Kim, Dahee Kim, Min Hee Hong, Eun Chang Choi, Se‐Heon Kim, Young Min Park, Jinna Kim, Sun Ock Yoon, Gamin Kim, Sunhye Shin, Kyungsoo Kim, Yoon Woo Koh, Sang‐Jun Ha, Hye Ryun Kim
Publikováno v:
Clinical and Translational Medicine, Vol 12, Iss 3, Pp n/a-n/a (2022)
Externí odkaz:
https://doaj.org/article/e177b0e58c8040899fdd4105c4e16dec
Publikováno v:
Korean Journal of Otorhinolaryngology-Head and Neck Surgery. 66:241-247
Background and Objectives This study analyzed data from patients who were diagnosed with human papilloma virus (HPV)-associated oropharyngeal (OPC) and treated surgically to construct a machine learning survival prediction model.Subjects and Method W
Autor:
Hsien Pin Chang, Jong Won Hong, Won Jai Lee, Young Seok Kim, Yoon Woo Koh, Se-Heon Kim, Dae Hyun Lew, Tae Suk Roh
Publikováno v:
Archives of Plastic Surgery, Vol 45, Iss 05, Pp 449-457 (2018)
Background Although previous studies have focused on determining prognostic and causative variables associated with fistula-related complications after head and neck reconstructive surgery, only a few studies have addressed preventive measures. Notin
Externí odkaz:
https://doaj.org/article/57e45fa4984a4d719eab1ebf614b1d1f
Publikováno v:
Korean Journal of Otorhinolaryngology-Head and Neck Surgery. 65:610-616
Background and Objectives We analyzed surgical outcomes, perioperative complications, and mortality in head and neck squamous cell carcinoma (HNSCC) in patients who underwent curative surgery following neoadjuvant immunotherapy.Subjects and Method Th
Autor:
Yook Kim, Jin Young Lee, Jin Suk Lee, Jin-Bong Ye, Se Heon Kim, Young Hoon Sul, Su Young Yoon, Jung Hee Choi, Hanlim Choi
Publikováno v:
World Journal of Clinical Cases. 10:9760-9767
Publikováno v:
Korean Journal of Otorhinolaryngology-Head and Neck Surgery. 65:334-342
Background and Objectives The purpose of this study was to analyze the survival data of salivary gland cancer (SGCs) patients to construct machine learning and deep learning models that can predict survival and use them to stratify SGC patients accor