校正:使用可穿戴式基于深度学习模型的急性精神疾病住院患者的综合症状预测:开发和验证研究:开发和验证研究
Minseok Hong1,2, Ri-Ra Kang3, Jeong Hun Yang2,4
1Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Journal of medical Internet research
|December 3, 2024
概括
这项研究纠正了先前发表的一篇文章DOI. 校正确保准确引用和检索研究结果,以改善科学沟通.
科学领域:
- 对科学文献进行校正.
- 数字对象标识符 (DOI) 管理管理
背景情况:
- 确保科学出版物的准确性对于可靠的知识传播至关重要.
- 数字物体识别器 (DOI) 对于独特识别和链接学术文章至关重要.
研究的目的:
- 为特定物品的DOI提供正式纠正.
- 维护科学记录的完整性和可检索性.
主要方法:
- 在原始出版物中错误的DOI的识别.
- 发布纠正通知以更新文章的元数据.
主要成果:
- 这篇文章的DOI已被纠正为10.2196/65994.4.
- 这种纠正确保了正确的引用和对研究的访问.
结论:
- 准确的DOI对于科学记录至关重要.
- 及时纠正提高了数字学术沟通的可靠性.
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