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핵심칠정척도 단축형을 활용한 건강한 성인의 정서적 특성 및 핵심칠정척도 단축형과 스트레스 한국판 자가척도와의 상관관계
임미홍,박정환,이상훈 대한한방신경정신과학회 2022 동의신경정신과학회지 Vol.33 No.3
Objectives: To investigate emotional characteristics of healthy adults using the Core Seven Emotions Inventory-Short Form (CSEI-s) and to investigate the correlation between the CSEI-s and Korean version of the Perceived Stress Scale (K-PSS). Methods: Overall, 2,178 healthy adults aged ≥19 years who completed the CSEI-s and K-PSS in a nationwide multicenter study were included in this study. One-way analysis of variance was performed to identify associations of seven emotions with sociodemographic characteristics. Bonferroni corrected post-hoc tests were performed for multiple comparisons. Pearson’s correlation analyses were conducted to examine the correlation between each emotion and stress. Results: Scores of all emotions except for joy (喜) and stress were significantly greater in women than in men. However, the score of joy (喜) in women was significantly less than that in men. There were significant differences in joy (喜), thought (思), depression (憂), fear (恐), and fright (驚) according to age groups in both men and women. The score of depression (憂) was significantly lower in women attending or graduating from graduate school than in those attending or graduating from undergraduate school. Significantly lower scores in joy (喜), thought (思), depression (憂), sorrow (悲), fear (恐), and fright (驚) were observed in married men than in single men. There were significant positive correlations between depression (憂) and stress and between sorrow (悲) and stress in both men and women. Conclusions: There were significant associations of seven emotions with sociodemographic characteristics in healthy adults.
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한국 중장년 여성에 대한 기계학습 기반 비침습적 요인들을 이용한 당뇨 및 공복혈당 장애 분류
임미홍,전영주,김홍기 한국정보기술학회 2023 한국정보기술학회논문지 Vol.21 No.8
This study aimed to build models to classify diabetes and impaired fasting glucose requiring active management of blood sugar based on machine learning approaches using noninvasive variables, and to evaluate the performance of each model. The classification models of diabetes and impaired fasting glucose in a total of 215 women aged 40 to 69 were built through six machine learning approaches. The performance of each model was evaluated using nested cross-validation. The model using elastic net logistic regression reported slightly higher performance. The area of diastolic period and standard deviation of pulse rate were founded to be relatively important variables in diabetes and impaired fasting glucose. These results showed the potential of noninvasive variables for the classification of diabetes and impaired fasting glucose. Also, classification based on machine learning approaches can help clinicians make clinical decisions and provide healthcare services.
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모수 $\sigma^k$에 대한 영향함수 유도 및 그 응용
이윤희,임미홍,고미미,김홍기 한국데이터정보과학회 2024 한국데이터정보과학회지 Vol.35 No.2
모든 자료분석에서 이상치의 존재는 그 분석의 결과를 왜곡하여 자료를 통한 타당한 의사결정 과정에 악영향을 미치게 된다. 이런 이유로 자료분석 초기 단계에서 이상치의 판별 및 대처는 아무리 강조해도 지나침이 없을 것이다. 이상치에 관한 문제 해결 방법이 다양하게 연구되고 있으며 이 중 영향함수는 이상치를 판별하는 기준을 제시하는 유용한 함수로 Hampel에 의해 처음 제시되었다. 그 후 다양한 통계량에 대한 영향함수들이 제시되었으며 이상치를 효율적으로 판별할 수 있다는 것이 실험적으로 증명되었다. 본 연구에서는 기존에 알려져 있는 $\sigma^2$에 대한 영향함수를 이용하여 모표준편차 $\sigma$의 $k$승, 즉 $\sigma^k$에 대한 영향함수를 유도하고 이의 타당성을 검증한다. 특히 $k=3$인 경우가 중요한데, 그 이유는 분포의 비대칭도를 측정하는 왜도 (skewness)의 분모가 $\sigma^3$이므로 향후 왜도에 대한 영향함수유도에 본 연구결과가 유용하게 씌여질 것이다. In all statistical analyses, a presence of outlying observations lead us to a misunderstanding and bring us to a false decision. For these reasons, we can not overemphasize the importance of detecting and handling those outliers. There are several ways to study outliers including influence function, which provides a key to discriminate outlying observations from the most of usual ones. The influence function technique is first suggested by Hampel, then is applied in many statistical problems and is proved to be very effective to declrare outliers. In this paper, we use the influence function on $\sigma^2$ to derive that on $\sigma^k$, and verify its validity using a real data set. It is especially important when $k$ is equal to 3 because the denominator of skewness (a parameter to describe non-centrality of a distribution) is $\sigma^3$.
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조한석,임미홍,김주한 한국자료분석학회 2011 Journal of the Korean Data Analysis Society Vol.13 No.5
It is an essential procedure to manage and control the radiation exposure dose of the personnel of the nuclear facilities or institutes. In order to measure the radiation exposure dose, estimation for the maximum individual intake of entire food and the intake of respective food is required. When the maximum individual intake is determined to be 0.95 quantile or 0.975 quantile of the individual intake of the entire food, the intake of the respective food should be defined. We propose several methods to determine values of variables corresponding to the quantile of the sum of those variables. We apply proposed methods to the survey data for national nutrition intake. 원자력을 이용하는 산업과 연구기관에서는 방사선피폭에 대한 안전관리와 평가가 필수적으로 수반된다. 방사성폐기물로 인하여 주변 주민이 받게 되는 피폭선량 평가에는 전체 식품에 대한 최대개인의 식품섭취량과 식품군별 식품섭취량이 필요하다. 최대개인의 식품섭취량을 전체 식품에 대한 개인 식품섭취량의 0.95 분위수 혹은 0.975 분위수로 정의할 때, 최대개인의 각 식품군별 식품섭취량을 결정하여야 한다. 본 연구에서는 다변량 자료에서 변수의 총합의 분위수에 대응하는 각 변수의 값을 결정하기 위해 다변량 정규분포의 조건부 기댓값 사용하는 방법, 주변분포의 분위수를 이용하는 방법, 기하 분위수를 이용한 방법, 표준화 기하 분위수의 활용 방법 등에 대해 알아보고, 국민건강영양조사 자료에 이를 적용하여 분석하였다.
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Development of a patient-report pressure algometer for the quantification of abdominal examination
고석재,Keun Ho Kim,Sanghun Lee,임미홍,박재우 한국한의학연구원 2021 Integrative Medicine Research Vol.10 No.4
Background Abdominal examination (AE), one of the primary diagnostic tools used in traditional Korean medicine (TKM), has a limitation of being subjective due to depending on individual practitioner's experience. Therefore, we devised a novel patient-report pressure algometer (PA) and performed a clinical trial to investigate its validity. Methods In total, 44 participants with functional dyspepsia and 44 healthy participants completed the study. The participants were allocated into one of two groups according to the existence of abdominal stiffness at 5 acupoints or abdominal tenderness at 12 acupoints diagnosed by TKM doctors. The pressure depth and pressure pain threshold (PPT) were evaluated using the PA at the same acupoints. We assessed the validity (sensitivity and specificity) of PA and calculated the area under the curve (AUC) and optimal cutoff value of the test variables (pressure depth and PPT) to criterion standards (abdominal stiffness and tenderness). Results Pressure depth and PPT assessed by PA showed high sensitivity and specificity in diagnosing abdominal stiffness and tenderness. The validity at CV-14 of diagnosing abdominal tenderness with PPT by PA had a sensitivity of 73.1%, specificity of 77.8%, and an AUC of 0.807 with a P value of < 0.001. Conclusion This study may provide evidence of standardization and quantification of AE through PA.
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