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OBJECTIVES Machine learning systems can considerably reduce the time and effort needed by experts to perform new systematic reviews (SRs). This study investigates categorization models, which are trained on a combination of included and commonly excluded articles, which can improve performance by identifying high quality articles for new procedures or drug(More)
OBJECTIVE To determine whether SVM-based classifiers, which are trained on a combination of inclusion and common exclusion articles, are useful to experts reviewing journal articles for inclusion during new systematic reviews. METHODS Test collections were built using the annotated reference files from 19 procedure and 4 drug systematic reviews. The(More)
Objective: CDA (Clinical Document Architecture) is a markup standard for clinical document exchange. In order to increase the semantic interoperability of documents exchange, the clinical statements in the narrative blocks should be encoded with code values. Natural language processing (NLP) is required in order to transform the narrative blocks into the(More)
OBJECTIVE Since ubiquitous technology is an emerging paradigm in healthcare, we wanted to evaluate its feasibility in the healthcare area. As a first step, we evaluated the feasibility of the smart bed. In this study, a series of experiments were conducted to evaluate the smart bed. MATERIALS AND METHODS Smart bed is a continuous ballistocardiogram(More)
Department of Psychiatry, Catholic University of Korea College of Medicine, Seoul, South Korea, Ewha Brain Institute, Ewha Womans University, Seoul, South Korea, Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea, Department of Neurology, School of Medicine, Ewha Womans University, Seoul, South Korea, Graduate School of(More)
The Unified Medical Language System (UMLS) is a rich source of knowledge in the biomedical domain. In this paper, we evaluated the coverage of UMLS as compared with Korean medical terms and identified differences in concept representation between two vocabulary sets. We measured the concept coverage by mapping clinical terms extracted from the discharge(More)
Competence judgments based on facial appearance predict election results in Western countries, which indicates that these inferences contribute to decisions with social and political consequence. Because trait inferences are less pronounced in Asian cultures, such competence judgments should predict Asian election results less accurately than they do(More)