송재욱 교수
Song, Jae Wook
한양대학교 산공학과 · 의학
연구실 소개
송재욱 교수의 연구실은 임상 영양학과 의료정보 분석을 융합한 임상응용 연구를 중심으로, 소아집중치료에서의 영양 상태 평가 및 임상 결과 연관성, 심정지 후 치료 관리의 기간과 예후 분석, 그리고 재활 간호의 효과성 평가 등 임상적 실무에 기여하는 연구를 수행하고 있습니다. 특히, 서울시의 여성 안전 배달 상자 설치 최적지 분석과 같은 공공보건 정책 지원 연구도 함께 진행하며, 의료 현장의 실질적 문제 해결을 목표로 합니다. 데이터 기반 의사결정과 통계적 분석을 바탕으로 한 임상 및 정책 연구가 핵심입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
13Introduction: Critically ill children in the pediatric intensive care unit (PICU) are at high risk for developing nutritional deficiencies and undernutrition is known to be a risk factor for morbidity and mortality. Malnutrition represents a continuous spectrum ranging from marginal nutrient status to severe metabolic and functional alterations and this in turn, affects clinical outcome. Objectives: The aim of the study was to assess nutritional status of critically ill children admitted to the
Abstract We have modified the fabrication processes of metallic magnetic calorimeters (MMCs) to improve production yield. Key modifications include (i) the stress mitigation of the sputtered Nb film by optimizing the Argon deposition gas pressure, (ii) an optimized SiO $$_{\hbox {x}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mtext>x</mml:mtext> <mml:mrow/> </mml:mmultiscripts> </mml:math> insulator layer fabrication by switching from a lift-
This study analyzes the optimal locations for additional installation of women's safety delivery boxes in Seoul. At first, four neighborhoods with the higher installation priority are selected based on Seoul's demographic and delivery-related data, including Yongshin-dong, Jamsil Bon-dong, Hwagok 1-dong, and Haengun-dong. Then, the optimal locations for each neighborhood are discovered and analyzed using the P-Median and Maximal Covering Location Problem(MCLP) algorithm based on realistic travel
Introduction: Targeted temperature management (TTM) is an important component of post cardiac arrest care. Current guidelines recommend deferring prognostic decisions for 72 hours post TTM. Most non survivors have care withdrawn and some hypothesize that early withdrawal of care adversely impacts survival. Our objective is to characterize hospital length of stay (LOS) post cardiac arrest, its relationship to survival and variation by hospitals using a statewide registry. Methods: We probabilisti
Purpose: This scoping review aims to provide established basic data on the characteristics and the effects of rehabilitation nursing interventions for improving the daily living ability and motor functions of stroke patients with hemiplegia to suggest the future direction of rehabilitation nursing interventions. Methods: The study population, concept and context were as of the following: ‘patients with hemiplegia’, ‘improvement of daily living abilities and motor functions’, and ‘published liter
Pair trading is a statistical arbitrage investment strategy. Traditionally, cointegration has been utilized in the pair exploring step to discover a pair with a similar price movement. Recently, the clustering analysis has attracted many researchers' attention, replacing the cointegration method. This study tests a clustering-driven pair trading investment strategy in the Korean stock market. If a pair detected through clustering has a large spread during the spread exploring period, the pair is
This study presents a model for estimating healthy life expectancy in Gyeongsangbuk-do at the city, county, and district level using machine learning. Quality-adjusted life expectancy (QALE) was calculated at each level using Graville correction and life tables. Next, 43 factors related to healthy life expectancy, including demographic and health care policy variables, were obtained from national health data. Machine learning was used to estimate healthy life expectancy. It was confirmed that Li
This study investigates the impact of perpetual swaps on structural complexity and market efficiency within cryptocurrency markets. Utilizing 15-minute interval price data from 35 cryptocurrencies, we employ multifractal detrended fluctuation analysis (MF-DFA), Multifractal-based measure of the degree of market efficiency (MED), and Market deficiency measure (MDM) to comparatively evaluate market characteristics before and after the introduction of perpetual swaps. Our empirical analysis reveals
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