Hyo Suk Nam
연세대학교 의과대학 신경과학교실 · 의학
Hyo Suk Nam 교수의 연구실은 뇌졸중의 예후 예측 및 심혈관질환 위험 평가를 중심으로 한 의료정보 및 생물학적 생체마커 연구를 수행하고 있습니다. 특히 티모린산 옥시드(TMAO)와 같은 생체마커를 활용한 심혈관질환 위험 예측 모델 개발과 함께, 베이지안 네트워크 기반의 예측 시스템을 통해 뇌졸중 환자의 3개월 기능 회복도 및 1년 생존율을 정밀하게 예측하고자 합니다. 또한 전자처방기록(CPOE) 기반의 팀워크 프로그램 도입을 통한 진료 품질 향상 및 뇌졸중 환자의 완전한 진단 평가의 중요성에 대해서도 연구하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Trimethylamine N-oxide (TMAO) is produced when trimethylamine, a waste product of gut microbes, is converted via hepatic flavin monooxygenases. As TMAO is a potential causative factor in various cardiovascular diseases (CVDs) considerable research interest has arisen on its use as a biomarker. Higher TMAO levels are associated with future risk of both incident CVD in the general population and established CVD, including stroke. The addition of TMAO into models with traditional risk factors signi
ClinicalTrials.gov Identifier: NCT04205305.
Bayesian network is an increasingly popular method in modeling uncertain and complex problems, because its interpretability is often more useful than plain prediction. To satisfy the core requirement in medical research to obtain interpretable prediction with high accuracy, we constructed an inference engine for post-stroke outcomes based on Bayesian network classifiers. The prediction system that was trained on data of 3,605 patients with acute stroke forecasts the functional independence at 3
Long-term mortality in patients with an incomplete evaluation was quite high. Etiologic work-up helps to better define the stroke subtype and determine the prognosis.
Implementation of the CPOE-based team approach program significantly reduced time from emergency department arrival to evaluations and treatment.
