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Yongin Songdam College[Affiliation] Publications | LitMetric

5 results match your criteria: "Yongin Songdam College[Affiliation]"

Background: High rates of psychiatric disorders and comorbidities have been reported in juvenile detainees, and both phenomena are thought to contribute to repeat offending. However, research on this topic has been limited in Asian countries, like South Korea. The purpose of this study was to examine the prevalence of psychiatric disorders, comorbidity patterns, and the relationship between psychiatric disorders and repeat offending among a cross-section of youths detained in a male juvenile detention center in South Korea.

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Purpose: This study was done to examine the association between body mass index (BMI) and any type of clinical dementia.

Methods: Participants were 60,321 people over 60 years of age enrolled in the Seoul Dementia Management Project in 2011. K-MMSE was used to classify participants as having a cognitive impairment and the Clinical Dementia Rating or DSM-IV by psychiatrists or neurologists to determine whether participants were in the dementia group or the non-dementia group.

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Objectives: Body weight, body mass index (BMI), body fat, and blood pressure are important indicators of a person's health. In this experimental study, we evaluated the effectiveness of an integrated personalized health care system, Health Improvement and Management System (HIMS)-everyday, which instantly provides subjects with biofeedback on their measured body weight, BMI, body fat and blood pressure using a database that stores subjects-customized information.

Methods: The subjects of this study used the system once or twice a week for 8 weeks.

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An XML-based framework for personalized health management.

Stud Health Technol Inform

December 2006

Department of Medical Information System, Yongin Songdam College, Yongin, Gyeonggi, Korea.

This paper proposes a framework for personalized health management. In this framework, XML technology is used for representing and managing the health information and knowledge. Major components of the framework are Health Management Prescription (HMP) Expert System and Health Information Repository.

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A wavelet interpolation filter (WIF) is designed for the removal of motion artifacts in the ST-segment of stress ECGs. The WIF consists of two parts. One part is a wavelet transform that decomposes the stress ECG signal into several frequency bands using a Haar wavelet.

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