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  1. Article ; Online: AI-based betting anomaly detection system to ensure fairness in sports and prevent illegal gambling.

    Kim, Changgyun / Park, Jae-Hyeon / Lee, Ji-Yong

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 6470

    Abstract: This study develops a solution to sports match-fixing using various machine-learning models to detect match-fixing anomalies, based on betting odds. We use five models to distinguish between normal and abnormal matches: logistic regression (LR), random ... ...

    Abstract This study develops a solution to sports match-fixing using various machine-learning models to detect match-fixing anomalies, based on betting odds. We use five models to distinguish between normal and abnormal matches: logistic regression (LR), random forest (RF), support vector machine (SVM), the k-nearest neighbor (KNN) classification, and the ensemble model-a model optimized from the previous four. The models classify normal and abnormal matches by learning their patterns using sports betting odds data. The database was developed based on the world football league match betting data of 12 betting companies, which offered a vast collection of data on players, teams, game schedules, and league rankings for football matches. We develop an abnormal match detection model based on the data analysis results of each model, using the match result dividend data. We then use data from real-time matches and apply the five models to construct a system capable of detecting match-fixing in real time. The RF, KNN, and ensemble models recorded a high accuracy, over 92%, whereas the LR and SVM models were approximately 80% accurate. In comparison, previous studies have used a single model to examine football match betting odds data, with an accuracy of 70-80%.
    MeSH term(s) Humans ; Gambling ; Football ; Logistic Models ; Artificial Intelligence
    Language English
    Publishing date 2024-03-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-57195-8
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  2. Article: Efficacy of intradialytic neuromuscular electrical stimulation and oral nutritional supplementation in hemodialysis patients: a multicenter, randomized controlled trial.

    Park, Jae Hyeon / Park, Jae Yoon / Lee, Geum Sil / Cha, Ran-Hui

    Kidney research and clinical practice

    2024  

    Abstract: Background: Sarcopenia is common in hemodialysis patients. This study aimed to evaluate the effect of simultaneous nutritional support and intradialytic neuromuscular electrical stimulation (NMES) in hemodialysis patients.: Methods: We performed a 12- ...

    Abstract Background: Sarcopenia is common in hemodialysis patients. This study aimed to evaluate the effect of simultaneous nutritional support and intradialytic neuromuscular electrical stimulation (NMES) in hemodialysis patients.
    Methods: We performed a 12-week, multicenter, randomized controlled trial. The participants were randomly assigned to the control group, the protein group (25 g of protein at every dialysis session), the NMES group (intradialytic NMES to quadriceps femoris muscles), and the NMES + P group (NMES with protein supplementation). The primary outcome was the difference in hand grip strength (HGS) and leg muscle strength (LMS) among groups. Secondary outcomes included body composition, physical performance (the 10-m walk test and the timed up and go test [TUG]), and questionnaires about quality of life (QoL), physical activity, and depression. In addition, subgroup analysis was performed by dividing NMES and NMES + P groups into high- and low-intensity NMES groups.
    Results: Fifty-nine patients completed all the study outcomes. There was no difference in muscle strength (HGS and LMS) and muscle mass among groups. Gait speed improved in NMES and NMES + P groups. Subscale scores for QoL (kidney disease effect, role limitations due to physical or emotional problems, and overall health ratings) improved in the NMES + P group. In subgroup analysis, LMS and TUG improved only in the high-intensity NMES group.
    Conclusion: In this study, NMES and-/or- protein supplementation did not make a significant difference in HGS and LMS. However, NMES or NMES + P improved functional capacity and QoL. Furthermore, higher NMES was superior in improving LMS and functional capacity.
    Language English
    Publishing date 2024-02-07
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2656420-8
    ISSN 2211-9132
    ISSN 2211-9132
    DOI 10.23876/j.krcp.23.146
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  3. Article: Differential association between physical activity behaviours and dynapenia by comorbid diseases in community-dwelling Korean older adults.

    Park, Jae Hyeon / Nam, Hyung Seok / Park, Mina / Kim, Yeo Hyung

    European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity

    2024  Volume 21, Issue 1, Page(s) 6

    Abstract: Background: Physical activity (PA) behaviours and comorbid diseases are associated with muscle strength. However, the association between dynapenia and detailed PA behaviours, including participation in aerobic and resistance exercises and sedentary ... ...

    Abstract Background: Physical activity (PA) behaviours and comorbid diseases are associated with muscle strength. However, the association between dynapenia and detailed PA behaviours, including participation in aerobic and resistance exercises and sedentary behaviour (SB), in relation to comorbid diseases has not yet been investigated. Using nationwide data, this study aimed to evaluate the independent association of dynapenia with detailed PA behaviour (participation in aerobic and resistance exercises and SB), and assess the differential associations of detailed PA behaviour with dynapenia according to comorbid diseases with prevalent sarcopenia.
    Methods: A total of 7,558 community-dwelling older adults aged ≥ 65 years who were included in the Korea National Health and Nutrition Examination Survey from 2014 to 2019 were included in the present study. Cross-sectional associations between PA behaviours (participation in aerobic exercise, participation in resistance exercise, and SB) and dynapenia were analysed using complex-sample multivariable-adjusted logistic regression models according to the type of comorbid disease (cardiovascular disease [CVD], diabetes mellitus [DM], and chronic lung disease [CLD]).
    Results: Sufficient aerobic exercise, sufficient resistance exercise, and low sedentary time of < 420 min/day showed independent negative associations with dynapenia (odds ratio [OR], 0.71; 95% confidence interval [CI], 0.60-0.83; OR, 0.54; 95% CI, 0.42-0.69; and OR, 0.84; 95% CI, 0.72-0.97, respectively). Among the participants with CVD or CLD, the associations of sufficient resistance exercise (OR, 0.46; 95% CI, 0.26-0.82 and OR, 0.51; 95% CI, 0.35-0.75 for CVD and CLD, respectively) and low sedentary time (OR, 0.66; 95% CI, 0.45-0.98 and OR, 0.71; 95% CI, 0.55-0.93 for CVD and CLD, respectively) with dynapenia were significant, whereas the association of sufficient aerobic exercise with dynapenia was insignificant. Meanwhile, in participants with DM, sufficient aerobic exercise (OR, 0.70; 95% CI, 0.52-0.94) and sufficient resistance exercise (OR, 0.45; 95% CI, 0.29-0.70) were independently associated with dynapenia, whereas no association between SB and dynapenia was found.
    Conclusion: We observed an independent inverse association between PA behaviours and dynapenia. Disease-specific associations between each PA behaviour (sufficient aerobic exercise, sufficient resistance exercise, and low sedentary time) and dynapenia differed in the older adults. Therefore, these differences should be acknowledged during interventions for this population.
    Language English
    Publishing date 2024-03-08
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2236925-9
    ISSN 1861-6909 ; 1813-7253
    ISSN (online) 1861-6909
    ISSN 1813-7253
    DOI 10.1186/s11556-024-00340-z
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  4. Article ; Online: Factors associated with sedentary behavior among community-dwelling breast cancer survivors aged 50 years or older.

    Park, Jae Hyeon / Lee, Jung Soo / Nam, Hyung Seok / Kim, Yeo Hyung

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 2396

    Abstract: Although increased sedentary behavior is associated with poor health outcomes among breast cancer survivors, the factors associated with high sedentary time in community-dwelling breast cancer survivors are unknown. This study aimed to identify factors ... ...

    Abstract Although increased sedentary behavior is associated with poor health outcomes among breast cancer survivors, the factors associated with high sedentary time in community-dwelling breast cancer survivors are unknown. This study aimed to identify factors associated with sedentary behavior in Korean community-dwelling breast cancer survivors aged ≥ 50 years. We included 205 breast cancer survivors from the Korea National Health and Nutrition Examination Survey. Total daily sedentary time was evaluated using questions from the Korean version of the Global Physical Activity Questionnaire. We used complex-sample multivariable-adjusted logistic regression analyses to analyze the associations between sociodemographic factors, medical factors, and health-related quality of life and high sedentary time (≥ 420 min/day). Among the Korean community-dwelling breast cancer survivors, 48.2% had a high daily sedentary time. Insufficient aerobic exercise (OR 2.29; 95% CI 1.12-4.69), diabetes (OR 3.37; 95% CI 1.22-9.33), and unemployed status (OR 2.29; 95% CI 1.05-5.02) were independently associated with high sedentary time after the adjustment for multiple sociodemographic and medical confounders. Participants with a low sedentary time (< 420 min/day) showed a significantly higher mean European Quality of Life 5-Dimensions (EQ-5D) index than those with a high sedentary time after adjusting for multiple confounders (0.89 ± 0.03 vs. 0.82 ± 0.04; P = 0.001). Among the EQ-5D dimensions, problems in mobility (OR 3.37; 95% CI 1.42-7.98) and pain/discomfort (OR 2.64; 95% CI 1.24-5.63) dimensions showed positive associations with high sedentary time. Middle- or older-aged breast cancer survivors with insufficient aerobic exercise, diabetes, unemployed status, and impaired quality of life are more likely to have a high sedentary time. Reducing sedentary behavior in this population requires a tailored approach that considers diverse sociodemographic, medical, and quality-of-life factors.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/epidemiology ; Cancer Survivors ; Sedentary Behavior ; Nutrition Surveys ; Quality of Life ; Independent Living ; Diabetes Mellitus
    Language English
    Publishing date 2024-03-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-51172-x
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  5. Article ; Online: Prosthetic valve endocarditis caused by

    Bak, Ayeong / Kim, Taek Soo / Park, Hyunwoong / Park, Jae Hyeon

    The Journal of international medical research

    2023  Volume 51, Issue 11, Page(s) 3000605231213264

    Abstract: Campylobacter ... ...

    Abstract Campylobacter fetus
    MeSH term(s) Humans ; Male ; Aortic Valve/surgery ; Campylobacter fetus/genetics ; Endocarditis, Bacterial/drug therapy ; Endocarditis, Bacterial/surgery ; Heart Valve Prosthesis/adverse effects ; RNA, Ribosomal, 16S ; Aged
    Chemical Substances RNA, Ribosomal, 16S
    Language English
    Publishing date 2023-11-21
    Publishing country England
    Document type Review ; Case Reports ; Journal Article
    ZDB-ID 184023-x
    ISSN 1473-2300 ; 0300-0605 ; 0142-2596
    ISSN (online) 1473-2300
    ISSN 0300-0605 ; 0142-2596
    DOI 10.1177/03000605231213264
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 925: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
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  6. Article: A Validation Study of a Deep Learning-Based Doping Drug Text Recognition System to Ensure Safe Drug Use among Athletes.

    Lee, Sang-Yong / Park, Jae-Hyeon / Yoon, Jiwun / Lee, Ji-Yong

    Healthcare (Basel, Switzerland)

    2023  Volume 11, Issue 12

    Abstract: This study aimed to develop an English version of a doping drug-recognition system using deep learning-based optical character recognition (OCR) technology. A database of 336 banned substances was built based on the World Anti-Doping Agency's ... ...

    Abstract This study aimed to develop an English version of a doping drug-recognition system using deep learning-based optical character recognition (OCR) technology. A database of 336 banned substances was built based on the World Anti-Doping Agency's International Standard Prohibited List and the Korean Pharmaceutical Information Center's Drug Substance Information. For accuracy and validity analysis, 886 drug substance images, including 152 images of prescriptions and drug substance labels collected using data augmentation, were used. The developed hybrid system, based on the Tesseract OCR model, can be accessed by both a smartphone and website. A total of 5379 words were extracted, and the system showed character recognition errors regarding 91 words, showing high accuracy (98.3%). The system correctly classified all 624 images for acceptable substances, 218 images for banned substances, and incorrectly recognized 44 of the banned substances as acceptable. The validity analysis showed a high level of accuracy (0.95), sensitivity (1.00), and specificity (0.93), suggesting system validity. The system has the potential of allowing athletes who lack knowledge about doping to quickly and accurately check whether they are taking banned substances. It may also serve as an efficient option to support the development of a fair and healthy sports culture.
    Language English
    Publishing date 2023-06-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare11121769
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  7. Article ; Online: The First Case of

    Park, Jae Hyeon / Kim, Taek Soo / Park, Hyunwoong

    Annals of laboratory medicine

    2022  Volume 42, Issue 4, Page(s) 494–496

    MeSH term(s) Azorhizobium caulinodans ; Bacteremia/complications ; Bacteremia/diagnosis ; Bacteremia/drug therapy ; Humans ; Leukemia
    Language English
    Publishing date 2022-02-17
    Publishing country Korea (South)
    Document type Case Reports ; Letter
    ZDB-ID 2677441-0
    ISSN 2234-3814 ; 2234-3814
    ISSN (online) 2234-3814
    ISSN 2234-3814
    DOI 10.3343/alm.2022.42.4.494
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  8. Book ; Online: Unscented Kalman filter with stable embedding for simple, accurate and computationally efficient state estimation of systems on manifolds in Euclidean space

    Park, Jae-Hyeon / Chang, Dong Eui

    2022  

    Abstract: This paper proposes a simple, accurate and computationally efficient method to apply the ordinary unscented Kalman filter developed in Euclidean space to systems whose dynamics evolve on manifolds.We use the mathematical theory called stable embedding to ...

    Abstract This paper proposes a simple, accurate and computationally efficient method to apply the ordinary unscented Kalman filter developed in Euclidean space to systems whose dynamics evolve on manifolds.We use the mathematical theory called stable embedding to make a variant of unscented Kalman filter that keeps state estimates in closeproximity to the manifold while exhibiting excellent estimation performance. We confirm the performance of our devised filter by applying it to the satellite system model and comparing the performance with other unscented Kalman filters devised specifically for systems on manifolds. Our devised filter has a low estimation error, keeps the state estimates in close proximity to the manifold as expected, and consumes a minor amount of computation time. Also our devised filter is simple and easy to use because our filter directly employs the off-the-shelf standard unscented Kalman filter devised in Euclidean space without any particular manifold-structure-preserving discretization method or coordinate transformation.

    Comment: This paper is published in International Journal of Robust and Nonliner Control
    Keywords Computer Science - Robotics
    Subject code 000
    Publishing date 2022-08-22
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: A Generative Adversarial Network-Based Image Denoiser Controlling Heterogeneous Losses.

    Cho, Sung In / Park, Jae Hyeon / Kang, Suk-Ju

    Sensors (Basel, Switzerland)

    2021  Volume 21, Issue 4

    Abstract: We propose a novel generative adversarial network (GAN)-based image denoising method that utilizes heterogeneous losses. In order to improve the restoration quality of the structural information of the generator, the heterogeneous losses, including the ... ...

    Abstract We propose a novel generative adversarial network (GAN)-based image denoising method that utilizes heterogeneous losses. In order to improve the restoration quality of the structural information of the generator, the heterogeneous losses, including the structural loss in addition to the conventional mean squared error (MSE)-based loss, are used to train the generator. To maximize the improvements brought on by the heterogeneous losses, the strength of the structural loss is adaptively adjusted by the discriminator for each input patch. In addition, a depth wise separable convolution-based module that utilizes the dilated convolution and symmetric skip connection is used for the proposed GAN so as to reduce the computational complexity while providing improved denoising quality compared to the convolutional neural network (CNN) denoiser. The experiments showed that the proposed method improved visual information fidelity and feature similarity index values by up to 0.027 and 0.008, respectively, compared to the existing CNN denoiser.
    Language English
    Publishing date 2021-02-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s21041191
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  10. Article ; Online: The First Case of Prosthesis-related Infection Caused by

    Kwon, Seok Ryun / Kim, Taek Soo / Park, Hyunwoong / Park, Jae Hyeon

    Annals of laboratory medicine

    2022  Volume 42, Issue 6, Page(s) 697–699

    MeSH term(s) Basidiomycota ; Humans ; Prosthesis-Related Infections/diagnosis ; Republic of Korea
    Language English
    Publishing date 2022-06-25
    Publishing country Korea (South)
    Document type Case Reports ; Letter
    ZDB-ID 2677441-0
    ISSN 2234-3814 ; 2234-3814
    ISSN (online) 2234-3814
    ISSN 2234-3814
    DOI 10.3343/alm.2022.42.6.697
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