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Takkavatakarn, K., Dai, Y., Sridhar, A., Borvick, M., Ehrenfeld, R., Cepin, C. L., Nadkarni, G. N., & Chan, L. (2024). Perceptions Related to Careers in Nephrology on Student Doctor Network Using Natural Language Processing. Kidney International Reports. Redirecting
https://ars.els-cdn.com/content/image/1-s2.0-S2468024924018606-mmc1.pdf
Interest in a career in nephrology has been declining.1 The ratio of candidates applying to nephrology fellowships per position has been less than 1 since 2016, with the lowest reaching 0.6 candidates per position.2 The reasons behind the decreased interest in nephrology have been explored mainly through surveys and interviews.3, 4, 5, 6, 7 Several factors such as difficulty of the subject, lack of role models, lack of exposure to the field and procedures, perception of low remuneration, and poor work-life balance are important contributors to why nephrology was not chosen. With easy access to unfiltered, diverse content and robust networking interactions, social media has undergone substantial growth over the past decade. Exploring social media conversations about nephrology may provide valuable insights into the reasons for the declining interest in the field.
In this study, we aimed to use natural language processing, a subset of artificial intelligence encompassing the art of teaching computers to understand human language, to explore current perceptions of a career in nephrology shared on public forums. We utilized BERT (Supplemental Figure S1) and ChatGPT (Supplemental Figure S2) to identify, label, and describe topics related to nephrology discussed on student doctor network forums. Sentiment analysis was conducted by 2 independent raters to determine the tone of perceptions as positive, negative, or neutral/mixed. Full methods are provided in the Supplementary Methods.
https://ars.els-cdn.com/content/image/1-s2.0-S2468024924018606-mmc1.pdf
Interest in a career in nephrology has been declining.1 The ratio of candidates applying to nephrology fellowships per position has been less than 1 since 2016, with the lowest reaching 0.6 candidates per position.2 The reasons behind the decreased interest in nephrology have been explored mainly through surveys and interviews.3, 4, 5, 6, 7 Several factors such as difficulty of the subject, lack of role models, lack of exposure to the field and procedures, perception of low remuneration, and poor work-life balance are important contributors to why nephrology was not chosen. With easy access to unfiltered, diverse content and robust networking interactions, social media has undergone substantial growth over the past decade. Exploring social media conversations about nephrology may provide valuable insights into the reasons for the declining interest in the field.
In this study, we aimed to use natural language processing, a subset of artificial intelligence encompassing the art of teaching computers to understand human language, to explore current perceptions of a career in nephrology shared on public forums. We utilized BERT (Supplemental Figure S1) and ChatGPT (Supplemental Figure S2) to identify, label, and describe topics related to nephrology discussed on student doctor network forums. Sentiment analysis was conducted by 2 independent raters to determine the tone of perceptions as positive, negative, or neutral/mixed. Full methods are provided in the Supplementary Methods.