Department of Microbiology, University of Granada, Granada, Spain.
Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain.
Environ Sci Pollut Res Int. 2023 Sep;30(42):96125-96137. doi: 10.1007/s11356-023-28576-9. Epub 2023 Aug 11.
Cancer disease is one of the main causes of death in the world, with million annual cases in the last decades. The need to find a cure has stimulated the search for efficient treatments and diagnostic procedures. One of the most promising tools that has emerged against cancer in recent years is machine learning (ML), which has raised a huge number of scientific papers published in a relatively short period of time. The present study analyzes global scientific production on ML applied to the most relevant cancer types through various bibliometric indicators. We find that over 30,000 studies have been published so far and observe that cancers with the highest number of published studies using ML (breast, lung, and colon cancer) are those with the highest incidence, being the USA and China the main scientific producers on the subject. Interestingly, the role of China and Japan in stomach cancer is correlated with the number of cases of this cancer type in Asia (78% of the worldwide cases). Knowing the countries and institutions that most study each area can be of great help for improving international collaborations between research groups and countries. Our analysis shows that medical and computer science journals lead the number of publications on the subject and could be useful for researchers in the field. Finally, keyword co-occurrence analysis suggests that ML-cancer research trends are focused not only on the use of ML as an effective diagnostic method, but also for the improvement of radiotherapy- and chemotherapy-based treatments.
癌症是世界上主要的死亡原因之一，在过去几十年中每年有数百万人患病。寻找治疗方法的需求刺激了对有效治疗和诊断程序的研究。近年来，对抗癌症最有前途的工具之一是机器学习 (ML)，它在相对较短的时间内发表了大量的科学论文。本研究通过各种文献计量指标分析了 ML 在最相关癌症类型中的全球科学研究成果。我们发现，到目前为止已经发表了超过 30000 项研究，并且观察到使用 ML 发表的研究数量最多的癌症（乳腺癌、肺癌和结肠癌）是发病率最高的癌症，美国和中国是该领域的主要科学产出国。有趣的是，中国和日本在胃癌方面的作用与亚洲胃癌病例数（占全球病例的 78%）相关。了解研究每个领域的国家和机构可以极大地帮助改善研究小组和国家之间的国际合作。我们的分析表明，医学和计算机科学期刊在该主题的出版物数量方面处于领先地位，对该领域的研究人员可能会有所帮助。最后，关键词共现分析表明，ML-癌症研究趋势不仅集中在将 ML 用作有效的诊断方法，而且还集中在改善基于放疗和化疗的治疗方法上。
