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급성 대동맥 박리로 내원한 환자에서 발견된 갈색세포종의 1예
이솔재 ( Sol-jae Lee ),장호준 ( Ho-jun Jang ),이용훈 ( Yong-hoon Lee ),이정은 ( Jung-eun Lee ),이유창 ( Yu-chang Lee ) 대한내과학회 2017 대한내과학회지 Vol.92 No.3
본 증례에서는 급성 대동맥 박리에 대한 스텐트 시술을 시행한 이후 갈색세포종이 발견되어 수술적 치료를 진행하였고, 그 결과 혈역학적 안정이 확보됨과 함께 증상이 회복 되었다. 갈색세포종과 대동맥 박리가 동반되는 경우는 드물어 진단이 어렵고 치료 지침도 정립되어 있지 않은 실정이다. 따라서 대동맥 박리 환자에서 갈색세포종을 배제하기 위한 적극적인 노력이 필요하다 판단된다. Pheochromocytomas are neoplasms of the adrenal gland that are derived from chromaffin cells. One of the most important features of this tumor is that it can synthesize and release catecholamines such as norepinephrine and epinephrine. Due to this, arterial hypertension is one of the most common manifestations of the tumor. Although arterial hypertension is a substantial risk factor for aortic dissection, aortic dissection is actually a rare manifestation of pheochromocytoma. Here, we report a patient with pheochromocytoma who presented with acute type B aortic dissection. (Korean J Med 2017;92:286-290)
인공지능 딥 러닝 기법을 이용한 영어 시험의 성적 예측과 활용
이예나(Yena Lee),장호준(Ho Jun Jang) 팬코리아영어교육학회(구 영남영어교육학회) 2022 영어교육연구 Vol.34 No.2
This study researches the possibility of applying a deep learning-based English assessment score prediction model in an assessment setting to predict scores of unperformed English assessments. A reading difficulty index and a corpus index were calculated as attributes connected to each test type for each English test type. A deep learning score prediction model was run to learn from the test. The model's validity was determined by comparing the predicted model's performance on a new trial with the scores obtained from the actual test. The results show a high level of prediction accuracy, and out of the 10,380 participants' scores from the TOEIC English assessment taken as a part of a university liberal arts class over three years, for 782 test-takers, there was only a 0.07- point difference in the average scores across 3 test types. Furthermore, there was only a 1.5 and 1.3 point difference between the top 30% and bottom 30% groups. It was also confirmed that the results were valid even when the individual test takers were replaced with a different group. It is expected that this prediction model of English test results can be used as an additional indicator for developing an English test. This study proposes that the valid result predictions of unperformed English assessments using the deep learning-based English assessment prediction model can be used as a new supporting indicator.