从文本到洞察力:基于自然语言处理的神经外科主题和趋势分析
Mert Karabacak1, Alexander J Schupper, Matthew T Carr
1Department of Neurosurgery, Mount Sinai Health System, New York , New York , USA.
Neurosurgery
|November 21, 2023
概括
神经外科研究正在迅速发展. 这项研究使用自然语言处理来识别关键趋势,揭示了"脊柱神经外科"和"脑缺血"作为主导主题",外围神经外科"和"内血管治疗"成为热门话题.
科学领域:
- 神经外科 神经外科
- 医学研究趋势 医学研究趋势
- 自然语言处理自然语言处理.
背景情况:
- 神经外科是一个充满活力的领域,不断出现新的研究领域.
- 了解当前的研究主题和趋势对于指导未来调查至关重要.
研究的目的:
- 识别和分析神经外科的流行研究主题和趋势.
- 为了更清楚地了解不断变化的神经外科研究领域.
主要方法:
- 使用BERTopic,一种自然语言处理 (NLP) 方法,分析了来自Neurosurgery杂志的12438篇论文.
- 采用线性回归来模拟随时间推移的主题概率,确定"热" (增加) 和"冷" (减少) 的研究趋势.
- 对当前十年内的趋势进行了集中分析.
主要成果:
- 确定了49个不同的话题,其中"脊髓神经外科"和"脑缺血症治疗"是最普遍的.
- "外围神经外科手术"",未破裂的动脉瘤"和"内血管治疗"成为本十年最热门的话题.
- "奇亚里形","血栓栓塞瘤预防",和"感染"被确定为冷门话题.
结论:
- 神经外科研究是动态的,重点转移到特定领域.
- 洞察力可以指导未来的研究,政策决策,并确定兴趣的新兴领域.
- 在医学学科中,NLP展示了分析大量学术文献的潜力.
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