• 대한예방의학회:학술대회논문집
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• 1994.02b
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• pp.150-153
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• 1994

Receiver operating characteristic (ROC) curves have been frequently used to compare probability models applied to medical problems. Though the curves are a measure of the discriminatory power of a model. they do not reflect the model's accuracy. A supplementary accuracy curve is derived which will be coincident with the ROC curve if the model is reliable. will be above the ROC curve if the model's probabilities are too high or below if they are too low. A clinical example of this new graphical presentation is given.

• Journal of Korea Entertainment Industry Association
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• v.4 no.4
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• pp.72-76
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• 2010

Clinical nomogram is a graphical representation of numeric formula, constructed from clinical cases database of followed patients' treatment, which is used for medical predication. For a clinical nomogram to contribute patient care, it is required to accumulate as many as clinical cases and to extract medical prediction knowledge. It needs to be equipped with an effective method to build medical nomogram with high predication accuracy. It is desirable for medical nomogram to be accessible at patient care point. This paper proposes a medical nomogram service system architecture which takes into account the above-mentioned issues. The proposed system architecture includes a web-based database subsystem to maintain and keep track of clinical cases. On the periodic basis, a new clinical nomogram is reconstructed for the updated clinical database. For the convenient use of patient care practice environment, an app-based program is provided which makes prediction based on the most recent clinical nomogram constructed in the service system. The proposed method has been applied to a clinical nomogram service system development for recurrence and survival prediction in bladder cancer patients.

• Annals of Clinical Neurophysiology
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• v.13 no.1
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• pp.38-43
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• 2011

Background: In the brain, the dominant primary motor cortex (M1) has a greater hand representation area, shows more profuse horizontal connections, and shows a greater reduction in intracortical inhibition after hand exercise than does the non-dominant M1, suggesting a hemispheric asymmetry in M1 plasticity. Methods: We performed a transcranial magnetic stimulation (TMS) study to investigate the hemispheric asymmetry of paired associative stimulation (PAS)-induced M1 plasticity in 9 right-handed volunteers. Motor evoked potentials (MEPs) were measured in the abductor pollicis brevis (APB) muscles of both hands, and MEP recruitment curves were measured at different stimulation intensities, before and after PAS. Results: MEP recruitment curves were significantly enhanced in the dominant, but not the non-dominant M1. Conclusions: These results demonstrate that the dominant M1 has greater PAS-induced plasticity than does the non-dominant M1. This provides neurophysiological evidence for the asymmetrical performance of motor tasks related to handedness.

• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.119-126
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• 2015

CDSS provides clinical doctors with knowledge to be required when they diagnose or make decision about treatment strategy. Arden Syntax is one of the language with which we write MLM that is a component of CDSS. It was designated as a standard by HL7/ANSI. ArdenML is an XML version of Arden Syntax. In this paper we propose a tool which translates Arden Syntax MLMs into ArdenML MLM. To this end we first defines the corresponding relation between two languages. Next we presents a modified version of Arden Syntax grammar to improve performance of lexical analysis and minimize parsing conflicts. Finally we presents syntax and semantics gaps between the both languages, which are a structural representation problem, a data type problem, and a disrelation problem. Our translator resolves such issues and generates exact ArdenML codes for an arbitrary Arden Syntax MLM.

• Journal of Korean Academy of Nursing
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• v.47 no.1
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• pp.14-24
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• 2017

Purpose: The purpose of this study was to construct and test a hypothetical model of self-management in patients with hemodialysis based on the Self-Regulation Model and resource-coping perspective. Methods: Data were collected from 215 adults receiving hemodialysis in 17 local clinics and one tertiary hospital in 2016. The Hemodialysis Self-management Instrument, the Revised Illness Perception Questionnaire, Herth Hope Index and Multidimensional Scale of Perceived Social Support were used. The exogenous variable was social context; the endogenous variables were cognitive illness representation, hope, self-management behavior, and illness outcome. For data analysis, descriptive statistics, Pearson correlation analysis, factor analysis, and structural equation modeling were performed. Results: The hypothetical model with six paths showed a good fitness to the empirical data: GFI=.96, AGFI=.90, CFI=.95, RMSEA=.08, SRMR=.04. The factors that had an influence on self-management behavior were social context (${\beta}=.84$), hope and cognitive illness representation (${\beta}=.37$ and ${\beta}=.27$) explaining 92.4% of the variance. Self-management behavior mediated the relationship between psychosocial coping resources and illness outcome. Conclusion: This research specifies a more complete spectrum of the self-management process. It is important to recognize the array of clinical resources available to support patients' self-management. Healthcare providers can facilitate self-management through collaborative care and understanding the ideas and emotions that each patient has about the illness, and ultimately improve the health outcomes. This framework can be used to guide self-management intervention development and assure effective clinical assessment.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2001.10a
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• pp.11-28
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• 2001

The Korean functional Genomics Project focuses on stomach and liver cancers. Specimens collected by six hospital teams are used in BNA microarray experiments. Experimental conditions, spot measurement data, and the associated clinical information are stored in a relational database. Microarray database schema was developed based on EBI's ArrayExpress. A diagrammatic representation of the schema is used to help navigate over marty tables in the database. Field description, table-to-table relationship, and other database features are also stored in the database and these are used by a PERL interface program to generate web-based input forms on the fly. As such, it is rather simple to modify the database definition and implement controlled vocabularies. This PERL program is a general-purpose utility which can be used for inputting and updating data in relational databases. It supports file upload and user-supplied filters of uploaded data. Joining related tables is implemented using JavaScripts, allowing this step to be deferred to a later stage. This feature alleviates the pain of inputting data into a multi-table database and promotes collaborative data input among several teams. Pathological finding, clinical laboratory parameters, demographical information, and environmental factors are also collected and stored in a separate database. The same PERL program facilitated developing this database and its user-interface.

• Perspectives in Nursing Science
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• v.8 no.2
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• pp.113-120
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• 2011

Purpose: The aim of this study was to develop and validate Detailed Clinical Models (DCMs) for pain assessment in nursing. Methods: First, we identified the entities of pain assessment from ICNP. We identified the attributes and values of the attributes to describe the entities in more detail by reviewing the literature. Data types and optionalities of the attributes were defined. Second, we modeled the DCMs by linking an entity and its corresponding attributes with values and by specifying the data types and optionalities of the attributes. Finally, the DCMs were validated by a group of domain experts using a content validity index. Results: In total, 19 DCMs with 11 attributes for pain assessment were developed. The experts' evaluations showed that the DCMs were valid enough to represent pain related information of nursing assessment. Conclusion: The DCMs developed in this study can be used in electronic nursing records. The DCMs for pain can ensure the semantic interoperability of pain related information in electronic nursing records.

• Journal of Korean society of Dental Hygiene
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• v.19 no.4
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• pp.615-624
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• 2019

Objectives: This study explored job satisfaction experience and meaning of work in dental hygienists. Methods: In-depth interviews were conducted with 13 clinical dental hygienists who had been working in dental clinics for more than 10 years. The analysis method used was developed by Giorgi, including all four steps. Results: The results of the interview were categorized into five central meanings: recognition and trust (including patient's trust, trust in the boss, recognition in the hospital, and intimacy), growth (growth of the hospital, growth in jobs, and problem-solving skills), professional pride (self-esteem, extension of work and changes of awareness, and being able to help others), reward (financial compensation and psychological rewards), and meaning of life given by work (the process of maturing, self-representation, and vitality of life). Conclusions: Based on this study, we need to develop tools to measure dental hygienists' level of job satisfaction as well as follow-up research on ways to improve it.

• Journal of Korean Medical classics
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• v.37 no.3
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• pp.21-35
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• 2024

Objectives : The aim of this study is to establish foundation for applied research and clinical application of the treatment principle and imperativeness for Korean Medical treatment of recurrent pregnancy loss through the study of classical texts. Methods : The Donguibogam, Yixuerumen, Jingyuequanshu, together with gynecological texts such as the Fuqingzhunuke and the Nukejinglun were studied in terms of treatment, post-miscarriage cultivation methods and prevention for various types of pregnancy loss. Results : For cases of missed miscarriage, Foshousan is applied, while for recovery post surgery, Shenghuatang-based formulas are applied. For cases of imminent miscarriage, prescriptions should be selected based on major symptoms such as stomach pain, lower back pain and bleeding, while for cases of chemical miscarriages, treatment methods that cultivates the Liver and calms qi should be applied. After pregnancy loss, elimination of stagnant blood should be prioritized according to the principle of 'first eliminate blood, then tonify deficiency'. For prevention of pregnancy loss, Jinguidangguisan-based formulas should be applied according to medicinal administration principles of Korean Medicine. Conclusions : For an integrative treatment and prevention of recurrent pregnancy loss, Korean Medical treatment according to clinical representation is required.

• Journal of Computing Science and Engineering
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• v.6 no.2
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• pp.168-177
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• 2012

The search for relevant and actionable information is a key to achieving clinical and research goals in biomedicine. Biomedical information exists in different forms: as text and illustrations in journal articles and other documents, in images stored in databases, and as patients' cases in electronic health records. This paper presents ways to move beyond conventional text-based searching of these resources, by combining text and visual features in search queries and document representation. A combination of techniques and tools from the fields of natural language processing, information retrieval, and content-based image retrieval allows the development of building blocks for advanced information services. Such services enable searching by textual as well as visual queries, and retrieving documents enriched by relevant images, charts, and other illustrations from the journal literature, patient records and image databases.