Eunjoo Jeon

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OBJECTIVES This study analyzed smartphone obesity-management applications developed in Korea and the quality of the information that they provide. METHODS Obesity-management smartphone applications were searched using the keywords 'obesity + management,' 'weight + management,' 'weight + loss,' 'weight + exercise,' 'weight + diet,' 'weight + calories,' and(More)
Mesenchymal stromal cells (MSCs) are seen as an ideal source of cells to induce graft acceptance; however, some reports have shown that MSCs can be immunogenic rather than immunosuppressive. We speculate that the immunomodulatory effects of regulatory T cells (Tregs) can aid the maintenance of immunoregulatory functions of MSCs, and that a combinatorial(More)
OBJECTIVES The purpose of the study was to develop and evaluate a clinical-guideline-based smartphone application ('app') for obesity management. METHODS Obesity-related knowledge and functional requirements were extracted from clinical practice guidelines, a literature review, and consultations with experts. The extracted knowledge was used to design(More)
OBJECTIVES The factors affecting the acceptance of mobile obesity-management applications (apps) by the public were analyzed using a mobile healthcare system (MHS) technology acceptance model (TAM). METHODS The subjects who participated in this study were Android smartphone users who had an intent to manage their weight. They used the obesity-management(More)
OBJECTIVES The purpose of this study was to test the feasibility of an electronic nursing record system for perinatal care that is based on detailed clinical models and clinical practice guidelines in perinatal care. METHODS THIS STUDY WAS CARRIED OUT IN FIVE PHASES: 1) generating nursing statements using detailed clinical models; 2) identifying the(More)
Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely care to adolescents. This study aims to develop an ontology for collecting and analyzing social media data about adolescent depression. This ontology was developed using the 'ontology development 101'. The(More)
We reviewed mobile technology-based interventions in nursing and computed effect size of the interventions. We searched eight databases (KoreaMED, KMBASE, KISS, NDSL, Medline, EMBASE, Cochrane central library and CINAHL) using three sets of terms: mobile application, mobile app, mobile phone or smartphone; health or healthcare; and nursing. The study(More)
The aim of this study is to develop and evaluate a natural language generation system to populate nursing narratives using detailed clinical models. Semantic, contextual, and syntactical knowledges were extracted. A natural language generation system linking these knowledges was developed. The quality of generated nursing narratives was evaluated by the(More)
BACKGROUND Lifestyle modification is the most important factor in the management of obesity. It is therefore essential to enhance client participation in voluntary and continuous weight control. OBJECTIVE The aim of this study was to develop an obesity management ontology for application in the mobile-device domain. We considered the concepts of client(More)
The purpose of this study was to develop an ontology model to generate nursing narratives as natural as human language from the entity-attribute-value triplets of a detailed clinical model using natural language generation technology. The model was based on the types of information and documentation time of the information along the nursing process. The(More)