全球科学生产对机器学习应用到不同类型的癌症的图书统计分析
Miguel Angel Ruiz-Fresneda1, Alfonso Gijón2,3, Pablo Morales-Álvarez3,4
1Department of Microbiology, University of Granada, Granada, Spain. mafres@ugr.es.
Environmental science and pollution research international
|August 11, 2023
概括
机器学习 (ML) 正在彻底改变癌症研究,有超过3万项研究. 研究重点是用于诊断和治疗乳腺癌,肺癌和结肠癌的ML,美国和中国领导生产.
科学领域:
- 在瘤学瘤学.
- 计算机科学 计算机科学
- 图书统计学 图书统计学
背景情况:
- 癌症仍然是全球主要的死亡原因,需要先进的诊断和治疗策略.
- 机器学习 (ML) 已成为癌症研究中的一个强大工具,出版物的显著增加证明了这一点.
- 了解癌症ML的全球研究趋势对于推进该领域至关重要.
研究的目的:
- 在癌症研究中对机器学习应用进行全球科学生产的文献计量分析.
- 确定ML癌症研究中的关键癌症类型,领先的研究机构和地理趋势.
- 探索这个跨学科领域的新兴研究趋势和出版商.
主要方法:
- 图书统计指标被用来分析全球科学成果,用于癌症的机器学习.
- 研究人员检查了来自3万多项已发表研究的数据.
- 进行了关键词同时出现的分析,以确定研究趋势.
主要成果:
- 在癌症中发表了超过3万项关于ML的研究,其中乳腺癌,肺癌和结肠癌是最受研究的.
- 美国和中国是领先的科学生产国,在亚洲胃癌研究中观察到特定的区域相关性.
- 医学和计算机科学期刊主导着出版物,研究趋势侧重于ML用于诊断和治疗增强 (放射治疗,化疗).
结论:
- 机器学习是癌症研究的一个快速增长的领域,美国和中国的贡献很大.
- ML癌症研究的地理重点与癌症发病率一致,特别是亚洲的胃癌.
- 未来的研究方向包括利用ML改善癌症诊断和优化放射治疗和化疗治疗.
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