Minjung Kwak

Prof. Minjung Kwak


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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HKHo Hyun Kim
Ho Hyun Kim
MKMinjung Kwak
Minjung Kwak
KKKwangjin Kim
Kwangjin Kim
YGYoon-Kyung Gwak
Yoon-Kyung Gwak
JLJeong-Hun Lee
Jeong-Hun Lee
HYHoHyeong Yang
HoHyeong Yang
This study was designed to verify the effectiveness of smart gardens by improving indoor air quality (IAQ) through the installation of an indoor garden with sensor-based Internet-of-Things (IoT) technology that identifies pollutants such as particulate matter. In addition, the study aims to introduce indoor gardens for customized indoor air cleaning using the data and IoT technology. New apartments completed in 2016 were selected and divided into four households with indoor gardens installed and four households without indoor gardens. Real-time data and data on PM2.5, CO2, temperature, and humidity were collected through an IoT-based IAQ monitoring system. In addition, in order to examine the effects on the health of occupants, the results were analyzed based on epidemiological data, prevalence data, current maintenance, and recommendation criteria, and were presented and evaluated as indices. The indices were classified into a comfort index, which reflects the temperature and humidity, an IAQ index, which reflects PM2.5 and CO2, and an IAQ composite index. The IAQ index was divided into five grades from “good” to “hazardous”. Using a scale of 1 to 100 points, it was determined as follows: “good (0–20)”, “moderate (21–40)”, “unhealthy for sensitive group (41–60)”, “bad (61–80)”, “hazardous (81–100)”. It showed an increase in the “good” section after installing the indoor garden, and the “bad” section decreased. Additionally, the comfort index was classified into five grades from “very comfortable” to “very uncomfortable”. In the comfort index, the “uncomfortable” section decreased, and the “comfortable” section increased after the indoor garden was installed.

15 January 2021 in Gut and Liver
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Journal Article
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DLDae Hyun Lim
Dae Hyun Lim
MKMimi Kim
Mimi Kim
DJDae Won Jun
Dae Won Jun
MKMinjung Kwak
Minjung Kwak
JYJai Hoon Yoon
Jai Hoon Yoon
BKBo-kyeong Kang
Bo-kyeong Kang
Dae Hyun Lim, Mimi Kim, Dae Won Jun, Min Jung Kwak, Jai Hoon Yoon, Kang Nyeong Lee, Hang Lak Lee, Oh Young Lee, Byung Chul Yoon, Ho Soon Choi, and Bo Kyeong Kang. Gut and Liver 1999;0:. https://doi.org/10.5009/gnl19282

24 November 2022 in Health Insurance Review & Assessment Service Research
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JKJeong Lim Kim
Jeong Lim Kim
GCGayoung Cho
Gayoung Cho
MKMinjung Kwak
Minjung Kwak
YCYoon Jung Choi
Yoon Jung Choi
Jeong Lim Kim, Gayoung Cho, Min Jung Kwak, Yoon Jung Choi. HIRA Research 2022;2:174-82. https://doi.org/10.52937/hira.22.2.2.e9

16 January 2023 in Journal of Clinical Medicine
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YLYoonseok Lee
Yoonseok Lee
SBSeryun Bae
Seryun Bae
JKJi Hoon Kim
Ji Hoon Kim
MKMinjung Kwak
Minjung Kwak
SJSo Yeon Jeon
So Yeon Jeon
KBKwan Soo Byun
Kwan Soo Byun
Background: Serum asialo α1-acid gycoprotein (AsAGP) is a novel biomarker specific to liver fibrosis. Aim: To evaluate the diagnostic efficacy of serum AsAGP levels in classifying the severity of liver fibrosis and differentiating liver cirrhosis (LC) in patients with chronic hepatitis B (CHB) from healthy controls. Methods: Overall, 206 subjects were prospectively enrolled. LC was diagnosed based on liver stiffness levels (>11 kPa) measured using transient elastography. Serum AsAGP levels were measured using an antibody-lectin sandwich immunoassay. We investigated the diagnostic performance by comparing serum AsAGP levels among healthy control, CHB, and CHB with LC groups. Sensitivity, specificity, and optimal AsAGP cut-off values were also calculated. Results: Serum AsAGP levels were significantly different between healthy controls, CHB patients, and CHB patients with LC (1.04 ± 0.31 µg/mL, 1.12 ± 0.34 µg/mL, 1.51 ± 0.43 µg/mL respectively; p < 0.001). Serum AsAGP levels positively correlated with liver stiffness (r = 0.46, p < 0.001). AUROC of healthy control versus CHB with LC was 0.821 (p < 0.001, optimal cut-off 1.036 µg/mL). AUROC of healthy control versus CHB was 0.624 (p = 0.049, optimal cut-off level 0.934 µg/mL). AUROC of CHB versus CHB with LC was 0.765, (p < 0.001, optimal cut-off 1.260 µg/mL). Conclusions: Serum AsAGP levels in CHB patients with LC were significantly higher than those in healthy controls and CHB patients. AsAGP levels showed good diagnostic performance in predicting advanced fibrosis and cirrhosis, which suggests a potential role as a biomarker for predicting the progression of liver disease in CHB.

5 August 2022 in Integrative Medicine Research
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SKSeyoung Kim
Seyoung Kim
JSJihye Seo
Jihye Seo
Cheol-Hyun KimCheol-Hyun Kim
Cheol-Hyun Kim
HSHyun Kyung Sung
Hyun Kyung Sung
HGHo-Yeon Go
Ho-Yeon Go
SLSangkwan Lee
Sangkwan Lee
Migraine is a relatively common disease that has a significant effect on the daily activities of affected individuals. The purpose of this study was to explore the effects of herbal medicine (Jodeungsan, JDS) on migraine. Sixty-four patients with migraine were recruited and randomized to either the JDS or placebo group at a 1:1 ratio. The subjects received JDS or placebo daily for four weeks. The primary outcome was a change in the number of headache attack days (HADs), and the secondary outcome measures were the headache impact test (HIT), migraine-specific quality of life (MSQoL), the deficiency and excess pattern identification questionnaire (DEPIQ), the cold and heat pattern identification questionnaire (CHPIQ), and the blood stasis pattern questionnaire (BSPQ). In all, 61 of the 64 patients took the investigational drugs for four weeks. The number of HADs did not significantly differ between the JDS and placebo groups at the end of the study. However, the HIT and MSQoL results showed significant improvement over the baseline in both groups. JDS did not have a significant effect on chronic migraine. Larger studies are needed to confirm this result. Clinical Research Information Service (https://cris.nih.go.kr/): KCT0003121.

30 November 2016 in Journal of Health Informatics and Statistics
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CLChiyeon Lim
Chiyeon Lim
MKMinjung Kwak
Minjung Kwak