1 to 9 of 9 Results
Dec 26, 2024
Jin Li, Ying Luo, Youxing Li, Yufeng Zhao, Yeli Zhong, Rentong Hu, Bin Zhong, Yanli Li, Shuang Zhao, 2024, "Challenges and strategies for cultivating young teachers in pathophysiology departments at Chinese medical colleges: a narrative review", https://doi.org/10.7910/DVN/WF05P6, Harvard Dataverse, V1
Dataset 1. Data file used to create the 4 figures in Excel format |
Oct 24, 2024
Krittiya Rakchat, Saranan Eadcharoen, Amarawan Pentrakan, 2024, "Prevalence and associated factors of ADHD -like symptoms among pharmacy students at Prince of Songkla University, Thailand in 2024: a cross-sectional study", https://doi.org/10.7910/DVN/BRQQDV, Harvard Dataverse, V1
Dataset 1 . Raw response data from 526 participants in Thailand |
Jul 24, 2024
Maria Florencia Deslivia, Hee-June Kim, Sung Hun Kim, Suk-Joong Lee, 2024, "Straightforward, safe, and efficient interlocking screw insertion during intramedullary nailing using a Steinmann pin and hammer: a comparative study", https://doi.org/10.7910/DVN/ND7IIK, Harvard Dataverse, V1
Dataset 1. Results of the comparison between new and conventional methods in terms of time savings, radiation dose exposure to the Sawbones, and number of attempts |
Jul 11, 2024
Somi Jeong, So Hyun Ahn, Hyeon Jong Yang, Seung Jung Kim, Yuhyeon Chu, Jihye Gwak, Naeun Im, Seoyeong Oh, Seunghyun Kim, Hye Soo Yun, Eun Hee Ha, 2024, "Motivations, positive experiences, and concept changes of medical students in Korea after participating in an experiential entrepreneurship course: a qualitative study", https://doi.org/10.7910/DVN/Z0CQFZ, Harvard Dataverse, V1
Dataset 1. Verbatim obtained from six participants |
May 3, 2024
Dong Hyeok Choi, So Hyun Ahn, Rena Lee, 2024, "An accurate pediatric bone age prediction model using deep learning and contrast conversion", https://doi.org/10.7910/DVN/NMUR8X, Harvard Dataverse, V1
Dataset 1. 2017 RSNA AI Pediatric Bone Age Challenge. Available from: https://www.rsna.org/rsnai/ai-image-challenge/RSNA-Pediatric-Bone-Age-Challenge-2017 Dataset 2. The datasets generated during and/or analyzed during the current study |
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... |
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 |
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 |
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,... |