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  1. Article: Analysis of Health Insurance Big Data for Early Detection of Disabilities: Algorithm Development and Validation.

    Jeong, Seung-Hyun / Lee, Tae Rim / Kang, Jung Bae / Choi, Mun-Taek

    JMIR medical informatics

    2020  Volume 8, Issue 11, Page(s) e19679

    Abstract: Background: Early detection of childhood developmental delays is very important for the treatment of disabilities.: Objective: To investigate the possibility of detecting childhood developmental delays leading to disabilities before clinical ... ...

    Abstract Background: Early detection of childhood developmental delays is very important for the treatment of disabilities.
    Objective: To investigate the possibility of detecting childhood developmental delays leading to disabilities before clinical registration by analyzing big data from a health insurance database.
    Methods: In this study, the data from children, individuals aged up to 13 years (n=2412), from the Sample Cohort 2.0 DB of the Korea National Health Insurance Service were organized by age range. Using 6 categories (having no disability, having a physical disability, having a brain lesion, having a visual impairment, having a hearing impairment, and having other conditions), features were selected in the order of importance with a tree-based model. We used multiple classification algorithms to find the best model for each age range. The earliest age range with clinically significant performance showed the age at which conditions can be detected early.
    Results: The disability detection model showed that it was possible to detect disabilities with significant accuracy even at the age of 4 years, about a year earlier than the mean diagnostic age of 4.99 years.
    Conclusions: Using big data analysis, we discovered the possibility of detecting disabilities earlier than clinical diagnoses, which would allow us to take appropriate action to prevent disabilities.
    Language English
    Publishing date 2020-11-23
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2798261-0
    ISSN 2291-9694
    ISSN 2291-9694
    DOI 10.2196/19679
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Analysis of Health Insurance Big Data for Early Detection of Disabilities

    Jeong, Seung-Hyun / Lee, Tae Rim / Kang, Jung Bae / Choi, Mun-Taek

    JMIR Medical Informatics, Vol 8, Iss 11, p e

    Algorithm Development and Validation

    2020  Volume 19679

    Abstract: BackgroundEarly detection of childhood developmental delays is very important for the treatment of disabilities. ObjectiveTo investigate the possibility of detecting childhood developmental delays leading to disabilities before clinical registration by ... ...

    Abstract BackgroundEarly detection of childhood developmental delays is very important for the treatment of disabilities. ObjectiveTo investigate the possibility of detecting childhood developmental delays leading to disabilities before clinical registration by analyzing big data from a health insurance database. MethodsIn this study, the data from children, individuals aged up to 13 years (n=2412), from the Sample Cohort 2.0 DB of the Korea National Health Insurance Service were organized by age range. Using 6 categories (having no disability, having a physical disability, having a brain lesion, having a visual impairment, having a hearing impairment, and having other conditions), features were selected in the order of importance with a tree-based model. We used multiple classification algorithms to find the best model for each age range. The earliest age range with clinically significant performance showed the age at which conditions can be detected early. ResultsThe disability detection model showed that it was possible to detect disabilities with significant accuracy even at the age of 4 years, about a year earlier than the mean diagnostic age of 4.99 years. ConclusionsUsing big data analysis, we discovered the possibility of detecting disabilities earlier than clinical diagnoses, which would allow us to take appropriate action to prevent disabilities.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 360
    Language English
    Publishing date 2020-11-01T00:00:00Z
    Publisher JMIR Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Case Report: Spontaneous perforation of a bicornuate uterus with concomitant sarcoma.

    Yim, Soobin / Yeo, Inji / Lee, Myunghwa / Kyeong, Kyu-Sang / Cho, Hye-Yon / Kang, Jung Bae / Kyung, Min Sun

    F1000Research

    2020  Volume 9, Page(s) 1143

    Abstract: A 47-year-old nulliparous, virginal woman presented to the emergency department with acute abdominal pain. Emergency pelvic ultrasound and abdominal CT were taken, which showed a significant amount of hemoperitoneum and a bicornuate uterus with about ... ...

    Abstract A 47-year-old nulliparous, virginal woman presented to the emergency department with acute abdominal pain. Emergency pelvic ultrasound and abdominal CT were taken, which showed a significant amount of hemoperitoneum and a bicornuate uterus with about 18cm x 10cm mass on left uterus. Since the mass had increased vascularity and irregular margins, we thought that the mass could be a uterine sarcoma. MRI and PET/CT were taken additionally for oncologic evaluation before surgery. Intra operative findings showed a ruptured bicornuate uterus with a large mass within the left uterine horn. Total abdominal hysterectomy with bilateral salpingo-oophorectomy was performed. Pathologic analysis confirmed an undifferentiated uterine sarcoma. She was treated with 6 cycles of chemotherapy(etoposide, ifosfamide, cisplatin) postoperatively. Chest and abdomen CT for follow up after chemotherapy showed no sign of cancer recurrence. We suggest a bicornuate uterus with concomitant sarcoma should be concerned as a possible cause of uterine rupture by reviewing this case.
    MeSH term(s) Female ; Humans ; Middle Aged ; Neoplasm Recurrence, Local ; Positron Emission Tomography Computed Tomography ; Pregnancy ; Sarcoma/complications ; Spontaneous Perforation ; Uterus
    Language English
    Publishing date 2020-09-16
    Publishing country England
    Document type Case Reports
    ZDB-ID 2699932-8
    ISSN 2046-1402 ; 2046-1402
    ISSN (online) 2046-1402
    ISSN 2046-1402
    DOI 10.12688/f1000research.25961.2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Tumor size and lymph node status determined by imaging are reliable factors for predicting advanced cervical cancer prognosis.

    Kyung, Min Sun / Kim, Hong Bae / Seoung, Jung Yeob / Choi, In Young / Joo, Young Soo / Lee, Me Yeon / Kang, Jung Bae / Park, Young Han

    Oncology letters

    2015  Volume 9, Issue 5, Page(s) 2218–2224

    Abstract: The aim of the present study was to investigate the prognostic role of a number of clinical factors in advanced cervical cancer patients. Patients (n=157) with stage IIA-IIB cervical cancer treated at four Hallym Medical Centers in South Korea (Hallym ... ...

    Abstract The aim of the present study was to investigate the prognostic role of a number of clinical factors in advanced cervical cancer patients. Patients (n=157) with stage IIA-IIB cervical cancer treated at four Hallym Medical Centers in South Korea (Hallym University Sacred Heart Hospital; Kangnam Sacred Heart Hospital; Chuncheon Sacred Heart Hospital; and Kangdong Sacred Heart Hospital) between 2006 and 2010 were retrospectively enrolled. Univariate analysis identified significant predictive values in the following eight factors: i) Cancer stage (P<0.0001); ii) tumor size (≤4 vs. 4-6 cm, P=0.0147; and ≤4 vs. >6 cm, P<0.0001); iii) serum squamous cell carcinoma antigen level (≤2 vs. >15 ng/ml; P=0.0291); iv) lower third vaginal involvement (P<0.0001); v) hydronephrosis (P=0.0003); vi) bladder/rectum involvement (P=0.0015); vii) pelvic (P=0.0017) or para-aortic (P=0.0019) lymph node (LN) metastasis detected by imaging vs. no metastasis; and viii) pelvic LN metastasis identified by pathological analysis (P=0.0289). Furthermore, multivariate analysis determined that tumor size (≤4 vs. 4-6 cm, P=0.0371; and ≤4 vs. >6 cm, P=0.0024) and pelvic LN metastasis determined by imaging vs. no metastasis (P=0.0499) were independent predictive variables. Therefore, tumor size and pelvic LN metastasis measured by imaging were independent predictive factors for the prognosis of advanced cervical cancer. These factors may provide more clinically significant prognostic information compared with the currently used International Federation of Gynecology and Obstetrics staging system.
    Language English
    Publishing date 2015-03-05
    Publishing country Greece
    Document type Journal Article
    ZDB-ID 2573196-8
    ISSN 1792-1082 ; 1792-1074
    ISSN (online) 1792-1082
    ISSN 1792-1074
    DOI 10.3892/ol.2015.3015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Comparison of HE4, CA125, and Risk of Ovarian Malignancy Algorithm in the Prediction of Ovarian Cancer in Korean Women.

    Cho, Hye Yon / Park, Sung Ho / Park, Young Han / Kim, Hong Bae / Kang, Jung Bae / Hong, Seung Hwa / Kyung, Min Sun

    Journal of Korean medical science

    2015  Volume 30, Issue 12, Page(s) 1777–1783

    Abstract: This study is a multi-center clinical study, which aimed to compare CA125, HE4, and risk of ovarian malignancy algorithm (ROMA) in predicting epithelial ovarian cancer of Korean women with a pelvic mass. Prospectively, serum from 90 Korean women with ... ...

    Abstract This study is a multi-center clinical study, which aimed to compare CA125, HE4, and risk of ovarian malignancy algorithm (ROMA) in predicting epithelial ovarian cancer of Korean women with a pelvic mass. Prospectively, serum from 90 Korean women with ovarian mass was obtained prior to surgery. For control group, serum from 79 normal populations without ovarian mass was also obtained. The HE4 and CA125 data were registered and evaluated separately and ROMA was calculated for each sample. Total 67 benign tumors and 23 ovarian cancers were evaluated. Median serum levels of HE4 and CA125, and ROMA score were significantly higher in patients with ovarian cancer than those with benign ovarian tumor and normal population (P < 0.001). In ROC curve analysis for women with a pelvic mass, area under the curve (AUC) for HE4 and ROMA was higher than CA125. Statistical differences in each study compared to CA125 were marginal (P compared to CA125; 0.082 for HE4 and 0.069 for ROMA). Sub-analysis revealed that AUC for HE4 and ROMA was higher than AUC for CA125 in post-menopausal women with a pelvic mass, but there were no statistically significant differences (P compared to CA125; 0.160 for HE4 and 0.127 for ROMA). Our data suggested that both HE4 and ROMA score showed better performance than CA125 for the detection of ovarian cancer in women with a pelvic mass. HE4 and ROMA can be a useful independent diagnostic marker for epithelial ovarian cancer in Korean women.
    MeSH term(s) Algorithms ; Area Under Curve ; Biomarkers, Tumor/blood ; CA-125 Antigen/blood ; Carcinoma, Ovarian Epithelial ; Case-Control Studies ; Female ; Humans ; Middle Aged ; Neoplasms, Glandular and Epithelial/blood ; Neoplasms, Glandular and Epithelial/diagnosis ; Ovarian Neoplasms/blood ; Ovarian Neoplasms/diagnosis ; Predictive Value of Tests ; Prospective Studies ; Proteins/metabolism ; ROC Curve ; Reference Values ; Republic of Korea
    Chemical Substances Biomarkers, Tumor ; CA-125 Antigen ; Proteins ; WFDC2 protein, human
    Language English
    Publishing date 2015-11-30
    Publishing country Korea (South)
    Document type Clinical Study ; Comparative Study ; Journal Article ; Multicenter Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 639262-3
    ISSN 1598-6357 ; 1011-8934
    ISSN (online) 1598-6357
    ISSN 1011-8934
    DOI 10.3346/jkms.2015.30.12.1777
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A case of lymphangioleiomyomatosis originated in the pelvic cavity.

    Han, Jung-Mi / Lee, Kyung-Hee / Kim, Sung-Joo / Rhim, Chae-Chun / Park, Young-Han / Kang, Jung-Bae / Jeon, Sun-Young

    Journal of gynecologic oncology

    2008  Volume 19, Issue 3, Page(s) 195–198

    Abstract: Lymphangioleiomyomatosis is a rare disease that is characterized by proliferation of abnormal smooth muscle-like cells, especially that which occurs in the pulmonary parenchyme. It primarily affects women of child-bearing age. The majority of primary ... ...

    Abstract Lymphangioleiomyomatosis is a rare disease that is characterized by proliferation of abnormal smooth muscle-like cells, especially that which occurs in the pulmonary parenchyme. It primarily affects women of child-bearing age. The majority of primary lymphangioleiomyomatosis occurs in the lung, but there are a few reports of extrapulmonary cases. We experienced a rare case of lymphangioleiomyomatosis which originated in the pelvic cavity (in the posterior portion of the uterus), and report with brief review of literatures.
    Language English
    Publishing date 2008-09-30
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2478405-9
    ISSN 2005-0399 ; 2005-0380
    ISSN (online) 2005-0399
    ISSN 2005-0380
    DOI 10.3802/jgo.2008.19.3.195
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    In stock of ZB MED Cologne/Königswinter

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  7. Article ; Online: Follicular stimulating hormone enhances Notch 1 expression in SK-OV-3 ovarian cancer cells.

    Park, Young-Han / Kim, Su Jin / Jeong, Byung-Hoon / Herzog, Thomas J / Wright, Jason / Kitajewski, Jan / Rhim, Chae Chun / Jang, Pong Rheem / Kang, Jung Bae / Kim, Sung Ju

    Journal of gynecologic oncology

    2010  Volume 21, Issue 2, Page(s) 119–124

    Abstract: Objective: Notch is known as a transmembranous receptor family with four homologous forms - Notch 1, Notch 2, Notch 3, and Notch 4 and related to cell fate regulation and angiogenesis. The purpose is to investigate the effect of follicular stimulating ... ...

    Abstract Objective: Notch is known as a transmembranous receptor family with four homologous forms - Notch 1, Notch 2, Notch 3, and Notch 4 and related to cell fate regulation and angiogenesis. The purpose is to investigate the effect of follicular stimulating hormone (FSH) on the Notch 1 expression and proliferation in ovarian cancer cells.
    Methods: Human ovarian cancer cell line, SK-OV-3 and FSH were used. XTT cell proliferation and cell migration assay were carried out with FSH 100 mIU/mL and Notch 1 siRNA. Western blots and reverse transcriptase-polymerase chain reactions (RT-PCR) were carried out to determine the expression level of the Notch 1 protein and mRNA with FSH treatment in 0, 1, 5, 10, 100, 200, 300 mIU/mL concentrations. Immunofluorescent (IF) stains were performed in SK-OV-3 cell cultures with FSH 100 mIU/mL. Student-t tests were used in statistical analyses.
    Results: The SK-OV-3 have Notch 1 receptors in their natural status. FSH stimulated SK-OV-3 cells in XTT cell proliferation and cell migration assays and notch 1 siRNA inhibited. The expression level of Notch 1 protein and mRNA were increased in a dose dependent pattern according to FSH concentrations compared to untreated cells. IF stains also showed brighter Notch1 expressions in the FSH treated cells compared to the control cells.
    Conclusion: FSH enhances proliferation & migration and Notch 1 signaling in SK-OV-3 cells. The Notch signaling probably supports one of the cell proliferating mechanisms of FSH in ovarian cancer cells.
    Language English
    Publishing date 2010-06-30
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2478405-9
    ISSN 2005-0399 ; 2005-0380
    ISSN (online) 2005-0399
    ISSN 2005-0380
    DOI 10.3802/jgo.2010.21.2.119
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