Keywords
Natural language processing
Bibliometric analysis
Citation analysis
Network analysis
How to Cite
Abstract
The number of clinical studies using natural language processing is quite large. Therefore, it is important to examine in depth the development of clinical studies using Natural Language Processing over the years. However, there are a limited number of studies in the literature examining the research status of this field. The article presents a bibliometric analysis of studies on the keywords "clinical AND studies AND natural AND language AND processing" indexed in Scopus between 2000 and 2023. This study aims to evaluate academic outputs in the relevant field quantitatively, make sense of the data, reveal the state of scientific knowledge in the field, and give scientists a general perspective on the subject. Bibliometrix and Microsoft Excel programs were used for bibliometric analysis. Nineteen thousand two hundred seventy-three different authors identified a total of 4535 studies. 77.5% of these studies were research articles (3516), 14.8% were conference papers (669), 6.8% were reviews (307), and 0.9% were book chapters (43). Journal of Biomedical Informatics was the journal in which the most studies were published, with 226 articles. Only the United States (2637) contributed 58.1% to the studies. Liu, H. was the most prolific author, with 85 articles. Harvard Medical School was the most productive institution, with 304 studies. The most cited article was Discontinuation of Statins in Routine Care Settings, A cohort study.
References
Akmese, O. F., 2022 Bibliometric analysis of publications on chaos theory and applications during 1987–2021. Chaos Theory and Applications 4: 169–178.
Aria, M. and C. Cuccurullo, 2017 bibliometrix: An r-tool for comprehensive science mapping analysis. Journal of Informetrics 11: 959–975.
Bedi, G. et al., 2015 Automated analysis of free speech predicts psychosis onset in high-risk youths. npj Schizophrenia 1: 1–7.
Casey, A., E. Davidson, M. Poon, H. Dong, D. Duma, et al., 2021 A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics and Decision Making 21: 1–18.
Chen, X., H. Xie, F. L. Wang, Z. Liu, J. Xu, et al., 2018 A bibliometric analysis of natural language processing in medical research. BMC Medical Informatics and Decision Making 18: 1–14.
Corcoran, C. M. and G. A. Cecchi, 2020 Using language processing and speech analysis for the identification of psychosis and other disorders. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5: 770–779.
Demir, E., 2019 The evolution of spirituality, religion and health publications: Yesterday, today and tomorrow. Journal of Religion and Health 58: 1–13.
Donthu, N., S. Kumar, D. Mukherjee, N. Pandey, and W. M. Lim, 2021 How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research 133: 285–296.
Doğan, G. and S. Kayır, 2020 Global scientific outputs of brain death publications and evaluation according to the religions of countries. Journal of Religion and Health 59: 96–112.
Ellegaard, O. and J. A. Wallin, 2015 The bibliometric analysis of scholarly production: How great is the impact? Scientometrics 105: 1809–1831.
Falagas, M. E., A. I. Karavasiou, and I. A. Bliziotis, 2006 A bibliometric analysis of global trends of research productivity in tropical medicine. Acta Tropica 99: 155–159.
Garcia, S. D. L. F., C. W. Ritchie, and S. Luz, 2020 Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer’s disease: A systematic review. Journal of Alzheimer’s Disease 78: 1547–1574.
Gould, M. K., T. Tang, I. L. A. Liu, J. Lee, C. Zheng, et al., 2015 Recent trends in the identification of incidental pulmonary nodules. American Journal of Respiratory and Critical Care Medicine 192: 1208–1214.
Khurana, D., A. Koli, K. Khatter, and S. Singh, 2023 Natural language processing: state of the art, current trends and challenges. Multimedia Tools and Applications 82: 3713–3744.
Kokol, P., H. B. Vošner, and J. Završnik, 2021 Application of bibliometrics in medicine: a historical bibliometrics analysis. Health Information and Libraries Journal 38: 125–138.
Le Glaz, A., Y. Haralambous, D.-H. Kim-Dufor, P. Lenca, R. Billot, et al., 2021 Machine learning and natural language processing in mental health: Systematic review. Journal of Medical Internet Research 23: e15708.
Meystre, S. and P. J. Haug, 2005 Automation of a problem list using natural language processing. BMC Medical Informatics and Decision Making 5: 1–14.
Miller, D. and E. Brown, 2018 Artificial intelligence in medical practice: the question to the answer? American Journal of Medicine 131: 129–133.
Moral-Muñoz, J. A., E. Herrera-Viedma, A. Santisteban-Espejo, and M. J. Cobo, 2020 Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información 29.
Nadkarni, P. M., L. Ohno-Machado, and W. W. Chapman, 2011 Natural language processing: An introduction. Journal of the American Medical Informatics Association 18: 544–551.
Sengupta, I. N., 1992 Bibliometrics, informetrics, scientometrics and librametrics: An overview. Libri 42: 75–98.
Tavabi, N., M. Singh, J. Pruneski, and A. M. Kiapour, 2022 Systematic evaluation of common natural language processing techniques to codify clinical notes. medRxiv.
Wallin, J. A., 2005 Bibliometric methods: Pitfalls and possibilities. Basic and Clinical Pharmacology and Toxicology 97: 261–275.
Wang, P., T. Hao, J. Yan, and L. Jin, 2017 Large-scale extraction of drug–disease pairs from the medical literature. Journal of the Association for Information Science and Technology 68: 2649–2661.
Wang, Y., L. Wang, M. Rastegar-Mojarad, et al., 2018 Clinical information extraction applications: a literature review. Journal of Biomedical Informatics.
Yıldırım, E. and E. Demir, 2019 Comparative bibliometric analysis of fertility preservation. Annals of Medical Research p. 1.
Zhang, H. et al., 2013 Discontinuation of statins in routine care settings: A cohort study. Annals of Internal Medicine 158: 526–534.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.