11 to 20 of 21 Results
May 3, 2024 -
An accurate pediatric bone age prediction model using deep learning and contrast conversion
Jupyter Notebook - 10.8 MB -
MD5: d86365ee9689d1729e9c91fd66afb3d5
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Apr 29, 2024
Joowon Lee, Sooyoung Huh, Haesook Seo, 2024, "Using an influenza epidemic threshold different from those in the United States and Europe caused longer epidemic periods in Korea during the 2018–2019, 2019–2020, and 2022–2023 seasons: a comparative study", https://doi.org/10.7910/DVN/9ZYE8N, Harvard Dataverse, V1
Dataset 1. Research data used to draw Fig. 1, which shows seasonal influenza activity during the 2018−2019 season in Korea according to different influenza epidemic thresholds in Korea, the United States, and Europe. Dataset 2. Research data used to draw Fig. 2, which shows seasonal influenza activity during the 2019−2020 season in Korea according... |
MS Excel Spreadsheet - 19.7 KB -
MD5: 597810af7cc9a81c5ad08beb396dabdf
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MS Excel Spreadsheet - 19.2 KB -
MD5: ad31a70a681d445146e2dd9b7f8d732d
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MS Excel Spreadsheet - 19.9 KB -
MD5: e2d0a94d99d7af7f304bb265d81ebeb9
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Apr 23, 2024
Seokmin Lee, 2024, "Drug-induced death statistics in Korea between 2011 and 2021", https://doi.org/10.7910/DVN/D3CXBJ, Harvard Dataverse, V1
Drug-induced deaths, including deaths due to medical narcotics, from 2011 to 2021 by sex, age, type of death, marital status, and educational attainment provided by Statistics Korea |
Apr 23, 2024 -
Drug-induced death statistics in Korea between 2011 and 2021
MS Excel Spreadsheet - 15.5 KB -
MD5: 26508de61a856585e69c3d2cbf3335e9
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Feb 5, 2024
Sun Huh, 2024, "Gender equity in medical journals in Korea and this issue", https://doi.org/10.7910/DVN/SEPRY1, Harvard Dataverse, V1
Raw data of the analysis of gender equity in 55 SCIE-indexed medical journals in Korea |
MS Excel Spreadsheet - 18.7 KB -
MD5: b4897b53359e58f6d1522027d4f2fef8
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Jan 31, 2024
Vesile Şenol; Zekeriya Temircan, 2024, "Sleep disorders, sleep quality, and health-related quality of life in patients with cancer in Turkey: a multi-center cross-sectional survey", https://doi.org/10.7910/DVN/CMG88I, Harvard Dataverse, V1
Objectives: The present study aims to examine the frequency of sleep disorders and the level of sleep quality, as well as their relationship with health-related quality of life in cancer patients. Methods: This multi-center cross-sectional survey included 333 cancer patients ranging in age from 16 to 72 years, between June 15, 2017, and August 30,... |