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Huge Goiter로 기도협착이 있는 환자에서 Awake Bronchoscopic Intubation을 통한 기도 관리 - 증례보고 -
권태완 ( Taewan Kwon ),강화자 ( Wha-ja Kang ),유안희 ( Ann Hee You ) 경희대학교 경희의료원 2019 慶熙醫學 Vol.34 No.1
The huge thyroid goiter is one of the risk factors of difficult airway. We report the anesthetic management of compromised airway with tracheal narrowing due to a huge goiter. After applying lidocaine spray, awake oral fiberoptic intubation was perfomed and intubation was done with 6.0mm reinforced armored tube. After successful total thyroidectomy, neuromuscular blockade was completely reversed by sugammadex and extubation was uneventful. No respiratory compromise was noted after extubation and the patient was discharged in 3 days after the surgery without any complications.
Sentence BERT를 활용한 기업 SWOT 분석 자동화 연구
정상현(Sanghyeon Jung),김용신(Yongshin Kim),정광필(Kwangpil Jeong),이태희(Taehee Lee),권태완(Taewan Kwon) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.12
클라우드 기반의 서비스형 인공지능(AI as a Service)으로 인해 고도의 인공지능 기술에 대한 접근성이 낮아짐에 따라 다양한 분야에서 지능형 애플리케이션 연구 개발이 이루어지고 있다. 본 연구는 기업 SWOT 분석을 지능적으로 자동화 할 수 있는 서비스형 인공지능인 SWOT Sentence BERT를 제안한다. SWOT Sentence BERT는 자연어 추론 형태로 가공된 SWOT 분석 데이터를 통해 학습되는 문장 임베딩 모델이며, 이를 통해 임베딩된 문장을 K-Means 알고리즘으로 클러스터링하여 기업 SWOT 분석을 자동화한다. As cloud-based AIaaS(AI as a Service) makes advanced AI technologies accessible, researchers in diverse disciplines have started to focus their research on developing intelligent applications. This study presented SWOT Sentence BERT as an AIaaS model that can intellectually automate company SWOT analysis. The SWOT Sentence BERT is a sentence embedding model that is learned through SWOT text data processed in the form of natural language inference task. In order to automate SWOT analysis, we applied K-Means clustering algorithm to make clusters with sentence embeddings and classified sentence embeddings based on their predicted clusters.