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Updated: Feb 4, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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用大型语言模型评估队列研究的偏差风险

Danni Xia1,2, Honghao Lai1,2, Weilong Zhao1,2

  • 1Department of Health Policy and Management, School of Public Health, https://ror.org/01mkqqe32Lanzhou University, Lanzhou, China.

Research synthesis methods
|February 2, 2026
PubMed
概括

大型语言模型 (LLM) 显示出在队列研究中评估偏差风险 (ROB) 的前景,提供高效和准确的评估. 在这项试点研究中,ChatGPT-4o和Moonshot-v1-128k表现出明显的优势.

关键词:
队列研究是指队列研究.大型语言模型.偏见的风险 偏见的风险系统性审查是系统的审查.

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