Search Results - "Hoyeon Jeong"

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  1. 1

    GraphMHC: Neoantigen prediction model applying the graph neural network to molecular structure by Jeong, Hoyeon, Cho, Young-Rae, Gim, Jungsoo, Cha, Seung-Kuy, Kim, Maengsup, Kang, Dae Ryong

    Published in PloS one (27-03-2024)
    “…Neoantigens are tumor-derived peptides and are biomarkers that can predict prognosis related to immune checkpoint inhibition by estimating their binding to…”
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    Journal Article
  2. 2

    Development and Validation of a Real-Time Service Model for Noise Removal and Arrhythmia Classification Using Electrocardiogram Signals by Park, Yeonjae, Park, You Hyun, Jeong, Hoyeon, Kim, Kise, Jung, Ji Ye, Kim, Jin-Bae, Kang, Dae Ryong

    Published in Sensors (Basel, Switzerland) (12-08-2024)
    “…Arrhythmias range from mild nuisances to potentially fatal conditions, detectable through electrocardiograms (ECGs). With advancements in wearable technology,…”
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    Journal Article
  3. 3

    Applications of deep learning methods in digital biomarker research using noninvasive sensing data by Jeong, Hoyeon, Jeong, Yong W, Park, Yeonjae, Kim, Kise, Park, Junghwan, Kang, Dae R

    Published in Digital health (2022)
    “…Introduction: Noninvasive digital biomarkers are critical elements in digital healthcare in terms of not only the ease of measurement but also their use of raw…”
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    Journal Article
  4. 4

    Entropy-Based Graph Clustering of PPI Networks for Predicting Overlapping Functional Modules of Proteins by Jeong, Hoyeon, Kim, Yoonbee, Jung, Yi-Sue, Kang, Dae Ryong, Cho, Young-Rae

    Published in Entropy (Basel, Switzerland) (28-09-2021)
    “…Functional modules can be predicted using genome-wide protein–protein interactions (PPIs) from a systematic perspective. Various graph clustering algorithms…”
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    Journal Article
  5. 5

    Evaluation of an air quality warning system for vulnerable and susceptible individuals in Korea: an interrupted time series analysis by Park, YouHyun, Koo, Jun Hyuk, Jeong, Hoyeon, Jung, Ji Ye, Kim, Changsoo, Kang, Dae Ryong

    Published in Epidemiology and health (14-02-2023)
    “…This study was conducted to elucidate the effects of an air quality warning system (AQWS) implemented in January 2015 in Korea by analyzing changes in the…”
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    Journal Article
  6. 6

    Prediction Model for Hypertension and Diabetes Mellitus Using Korean Public Health Examination Data (2002–2017) by Jeong, Yong Whi, Jung, Yeojin, Jeong, Hoyeon, Huh, Ji Hye, Sung, Ki-Chul, Shin, Jeong-Hun, Kim, Hyeon Chang, Kim, Jang Young, Kang, Dae Ryong

    Published in Diagnostics (Basel) (01-08-2022)
    “…Hypertension and diabetes mellitus are major chronic diseases that are important factors in the management of cardiovascular disease. In order to prevent the…”
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    Journal Article
  7. 7
  8. 8

    Impacts of organic farming on the nitrogen balance in agricultural land of OECD countries: Evidence from panel ARDL approach by Kim, GwanSeon, Jeong, Hoyeon, Manlove, Jacob, Seok, Jun Ho

    Published in Natural resources forum (25-06-2024)
    “…The growing concern for health and the environment among individuals is anticipated to boost the demand for organic foods. However, there is a research gap in…”
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    Journal Article
  9. 9

    Comparison of Newly Proposed LDL-Cholesterol Estimation Equations by Jeong, Yong Whi, Koo, Jun Hyuk, Huh, Ji Hye, Kim, Young-Jin, Jeong, Hoyeon, Kim, Eun Young, Kang, Dae Ryong

    Published in Journal of Korean medical science (15-05-2023)
    “…Low-density lipoprotein cholesterol is an important marker highly associated with cardiovascular disease. Since the direct measurement of it is inefficient in…”
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    Journal Article
  10. 10

    Evaluation of an air quality warning system for vulnerable and susceptible individuals in South Korea: an interrupted time series analysis by 박유현, 구준혁, Jeong Hoyeon, Jung Ji Ye, Kim Changsoo, Kang Dae Ryong

    Published in Epidemiology and health (01-01-2023)
    “…Objectives: This study was conducted to elucidate the effects of an air quality warning system (AQWS) implemented in January 2015 in Korea by analyzing changes…”
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    Journal Article
  11. 11

    Machine learning-based injury severity prediction of level 1 trauma center enrolled patients associated with car-to-car crashes in Korea by Kong, Joon Seok, Lee, Kang Hyun, Kim, Oh Hyun, Lee, Hee Young, Kang, Chan Young, Choi, Dooruh, Kim, Sang Chul, Jeong, Hoyeon, Kang, Dae Ryong, Sung, Tae-Eung

    Published in Computers in biology and medicine (01-02-2023)
    “…Injury prediction models enables to improve trauma outcomes for motor vehicle occupants in accurate decision-making and early transport to appropriate trauma…”
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    Journal Article
  12. 12

    Eeg-based emotion recogntion during emotionally evocative films by Mi-Sook Park, Hyeong-Seok Oh, Hoyeon Jeong, Jin-Hun Sohn

    “…It is difficult to classify anger, fear, and surprise emotions with autonomic nervous system response patterns, because these three emotions show similar…”
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    Conference Proceeding