1.Brugada Syndrome Patient Undertaken Brachial Plexus Block.
Yun Sic BANG ; Seon Yi LEE ; Daeun KO ; Junbeom PARK ; Sowoon AHN ; Chunghyun PARK
The Ewha Medical Journal 2017;40(4):164-167
Brugada syndrome is an arrhythmic syndrome characterized by right bundle branch block, ST segment elevation in the precordial lead (V1-V3), and sudden death caused by ventricular fibrillation, which is not effectively prevented by anti-arrhythmic drug therapy. We are reporting a 30-year-old male patient with Brugada syndrome who got an exploratory laparotomy and a tenorrhaphy due to stab wound which was managed with general anesthesia and brachial plexus block without any complications.
Adult
;
Anesthesia, General
;
Brachial Plexus Block*
;
Brachial Plexus*
;
Brugada Syndrome*
;
Bundle-Branch Block
;
Death, Sudden
;
Drug Therapy
;
Humans
;
Laparotomy
;
Male
;
Ventricular Fibrillation
;
Wounds, Stab
2.Hepatic failure caused by acute fatty liver of pregnancy treated by orthotopic liver transplantation: A case report
Yun Sic BANG ; Daeun KO ; Sunyoung LEE ; Seunghoon LEE ; Chunghyun PARK
Anesthesia and Pain Medicine 2019;14(2):197-201
Acute fatty liver of pregnancy (AFLP) is unusual but can potentially progress to overwhelming liver failure, resulting in maternal and fetal death. AFLP is characterized by the accumulation of microvesicular fat within hepatocytes. We report the case of a 37-year-old woman at 36 weeks' gestation with a twin pregnancy who was admitted with the diagnosis of intrauterine fetal death of one baby. The patient showed profile of AFLP on her laboratory findings and underwent emergency cesarean section. Then she progressed to cryptogenic fulminant hepatic failure and underwent successful orthotopic liver transplantation on 9th day of admission. This case demonstrates that liver transplantation is a feasible therapeutic option for the treatment of patients with this condition.
Adult
;
Anesthesia, General
;
Cesarean Section
;
Diagnosis
;
Emergencies
;
Fatty Liver
;
Female
;
Fetal Death
;
Hepatocytes
;
Humans
;
Liver Failure
;
Liver Failure, Acute
;
Liver Transplantation
;
Liver
;
Pregnancy
;
Pregnancy, Twin
3.Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0
Sunho KIM ; Royoung KIM ; Ryeo-Gyeong KIM ; Enjin KO ; Han-Su KIM ; Jihye SHIN ; Daeun CHO ; Yurhee JIN ; Soyeon BAE ; Ye Won JO ; San Ah JEONG ; Yena KIM ; Seoyeon AHN ; Bomi JANG ; Jiheyon SEONG ; Yujin LEE ; Si Eun SEO ; Yujin KIM ; Ha-Jeong KIM ; Hyeji KIM ; Hye-Lynn SUNG ; Hyoyoung LHO ; Jaywon KOO ; Jion CHU ; Juwon LIM ; Youngju KIM ; Kyungyeon LEE ; Yuri LIM ; Meongeun KIM ; Seonjeong HWANG ; Shinhye HAN ; Sohyeun BAE ; Sua KIM ; Suhyeon YOO ; Yeonjeong SEO ; Yerim SHIN ; Yonsoo KIM ; You-Jung KO ; Jihee BAEK ; Hyejin HYUN ; Hyemin CHOI ; Ji-Hye OH ; Da-Young KIM ; Hee-Jo NAM ; Hyun-Seok PARK
Genomics & Informatics 2020;18(3):e33-
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.
4.Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0
Sunho KIM ; Royoung KIM ; Ryeo-Gyeong KIM ; Enjin KO ; Han-Su KIM ; Jihye SHIN ; Daeun CHO ; Yurhee JIN ; Soyeon BAE ; Ye Won JO ; San Ah JEONG ; Yena KIM ; Seoyeon AHN ; Bomi JANG ; Jiheyon SEONG ; Yujin LEE ; Si Eun SEO ; Yujin KIM ; Ha-Jeong KIM ; Hyeji KIM ; Hye-Lynn SUNG ; Hyoyoung LHO ; Jaywon KOO ; Jion CHU ; Juwon LIM ; Youngju KIM ; Kyungyeon LEE ; Yuri LIM ; Meongeun KIM ; Seonjeong HWANG ; Shinhye HAN ; Sohyeun BAE ; Sua KIM ; Suhyeon YOO ; Yeonjeong SEO ; Yerim SHIN ; Yonsoo KIM ; You-Jung KO ; Jihee BAEK ; Hyejin HYUN ; Hyemin CHOI ; Ji-Hye OH ; Da-Young KIM ; Hee-Jo NAM ; Hyun-Seok PARK
Genomics & Informatics 2020;18(3):e33-
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.