Zobrazeno 1 - 10
of 484
pro vyhledávání: '"Hyong Lee"'
Autor:
Hee Jung Kim, Hyeon Ju Shin, Suk Woo Lee, Seonyeong Heo, Seung Hyong Lee, Ji Eon Kim, Ho Sung Son, Jae Seung Jung
Publikováno v:
Journal of Chest Surgery, Vol 57, Iss 4, Pp 390-398 (2024)
Background: In this study, we examined the impact of a patient blood management (PBM) program on red blood cell (RBC) transfusion practices in cardiothoracic surgery. Methods: The PBM program had 3 components: monitoring transfusions through an ord
Externí odkaz:
https://doaj.org/article/5fd8ff6415714c38a0d0637086095601
Autor:
Seung Zhoo Yoon, Jeong Jun Park, Jae Seung Jung, Ji Eon Kim, Seung Hyong Lee, Jeonghoon Lee, Eung Hwi Kim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The systemic inflammatory response syndrome can occur due to an inflammatory reaction to the release of cytokines, and it has been linked to the circulation of pro- and anti-inflammatory cytokines. The cardiopulmonary bypass (CPB) system is
Externí odkaz:
https://doaj.org/article/9243a081994d4acdbf584561adff2fab
Publikováno v:
IEEE Access, Vol 11, Pp 51155-51165 (2023)
Code summarization is the process of automatically generating brief and informative summaries of source code to aid in software comprehension and maintenance. In this paper, we propose a novel model called READSUM, REtrieval-augmented ADaptive transf
Externí odkaz:
https://doaj.org/article/7f554ebaf5e543ffb55f3b30c0e173d5
Publikováno v:
Journal of Chest Surgery, Vol 55, Iss 1, Pp 44-48 (2022)
Background: Although classical multi-port video-assisted thoracic surgery has been widely performed, single-incision thoracoscopic surgery (SITS) is a popular surgical technique for the treatment of primary spontaneous pneumothorax (PSP). However,
Externí odkaz:
https://doaj.org/article/5887e567aecd438590c9f186f9705d85
Publikováno v:
Journal of Chest Surgery, Vol 54, Iss 6, Pp 480-486 (2021)
Background: Although various methods are already used to calculate predicted postoperative forced expiratory volume in 1 second (FEV₁) based on preoperative FEV₁ in lung surgery, the predicted postoperative FEV₁ is not always the same as the ac
Externí odkaz:
https://doaj.org/article/051927f4e82d47a990c87404c6359401
Publikováno v:
Journal of Chest Surgery, Vol 54, Iss 5, Pp 425-428 (2021)
Aortobronchial fistula (ABF) induced by an infected pseudoaneurysm of the thoracic aorta is a life-threatening condition. As surgical treatment is associated with significant mortality and morbidity, thoracic endovascular aneurysm repair (TEVAR) may
Externí odkaz:
https://doaj.org/article/bb9bd27e4cb845b4a5e0364faf577c44
Publikováno v:
Journal of Chest Surgery, Vol 55, Iss 1, Pp 85-87 (2022)
Diaphragmatic hernias have been reported in 0.8%–1.6% of patients who experience blunt chest trauma. The hernia is assumed to form as a result of direct diaphragmatic violation or significant intraabdominal or intrathoracic pressure caused by the
Externí odkaz:
https://doaj.org/article/41bee82ff84948c58e331ce5a8a8c5d0
Autor:
Chang-Bae Gil, Jee-Hyong Lee
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9332 (2022)
Manufacturing sites encounter various scheduling problems, which must be dealt with to efficiently manufacture products and reduce costs. With the development of smart factory technology, many elements at manufacturing sites have become unmanned and
Externí odkaz:
https://doaj.org/article/ef87d006f0504aacb7c76a7dcca2ab00
Publikováno v:
Frontiers in Pharmacology, Vol 11 (2021)
Introduction: Various methods have been implemented to detect adverse drug reaction (ADR) signals. However, the applicability of machine learning methods has not yet been fully evaluated.Objective: To evaluate the feasibility of machine learning algo
Externí odkaz:
https://doaj.org/article/e3b6130f83ce4add920dc56c0da615ff
Weighted Averaging Federated Learning Based on Example Forgetting Events in Label Imbalanced Non-IID
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 5806 (2022)
Federated learning, a data privacy-focused distributed learning method, trains a model by aggregating local knowledge from clients. Each client collects and utilizes its own local dataset to train a local model. Local models in the connected federate
Externí odkaz:
https://doaj.org/article/63af2735d53942789fba6a15b5b19caa