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논문 기본 정보

저자정보
(한국폴리텍대학) (국립경국대학교)
저널정보
한국멀티미디어학회 멀티미디어학회논문지 멀티미디어학회논문지 제28권 제5호
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    초록·키워드

    This study addresses the need for accessible, maintainable tools for Early Diagnosis of Dementia by designing and implementing a Web Application and comparing its performance with Native Applications. The application’s backend is built with Python (Flask), while the frontend uses HTML, CSS, and JavaScript. Key features include a self-diagnostic test based on the SDQ Questionnaire, a Counseling Center Locator powered by a JSON dataset, and Hospital Search functionality integrated via the Kakao Maps API. Performance evaluations consider Server Response Time, Ease of Deployment, Maintenance Effort, and Cross-Platform Compatibility. Results demonstrate that the Web Application offers superior maintainability and broader accessibility across devices, whereas Native Applications outperform in resource-intensive operations, delivering faster Local Rendering and more seamless User Experience. These findings suggest that a hybrid approach—leveraging the strengths of both paradigms—may optimize dementia screening tools for diverse user needs and technological constraints.

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      UCI(KEPA) : I410-151-25-02-093133888