人工智能和微生物组研究:热点的演变,研究趋势和以主题为基础的叙事审查
Siddig Ibrahim Abdelwahab1, Manal Mohamed Elhassan Taha2, Ahmed Ali Jerah3
1Health Sciences Research Centre, Jazan University, Jazan, Saudi Arabia. siddigroa@yahoo.com.
Cellular and molecular biology (Noisy-le-Grand, France)
|November 28, 2024
概括
人工智能 (AI) 和微生物组研究正在迅速扩大. 这项研究分析了人工智能和微生物组 (AIM) 研究的趋势和关键话题,强调了它在个性化医学和疾病预测方面的日益重要.
科学领域:
- 生物医学信息学 生物医学信息学
- 微生物学 微生物学
- 数据科学数据科学数据科学
背景情况:
- 人工智能 (AI) 和微生物组研究正在迅速发展,这些领域具有重要的生物医学影响.
- 人工智能和微生物组 (AIM) 的交集代表了一个勃发展的跨学科领域.
研究的目的:
- 对人工智能和微生物组研究领域进行全面的文献分析.
- 在AIM领域内识别关键趋势,新兴主题和协作网络.
主要方法:
- 从Scopus数据库中系统提取数据驱动的研究数据 (2023年11月23日).
- 使用VOSviewer和Bibliometrix软件进行分析,以映射研究成果和合作.
主要成果:
- AIM研究的持续增长,每年增长7.46%.
- 确定了关键贡献者,机构和国家,揭示了研究热点和合作.
- 主题包括肠道微生物组,疾病预测,机器学习以及COPD和慢性鼻炎等特定疾病.
结论:
- AIM领域充满活力和扩展,重点关注用于疾病预测和个性化治疗的机器学习应用.
- 结果为研究人员和政策制定者提供了全面的概述,以指导AIM研究的未来方向.
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