Department of Dermatology and Allergy, Technical University of Munich, Munich, Germany.
Eye Center-Medical Center, Faculty of Medicine, Albert-Ludwigs-University of Freiburg, Freiburg, Germany.
J Med Internet Res. 2024 Nov 15;26:e60057. doi: 10.2196/60057.
As the digital health landscape continues to evolve, analyzing the progress and direction of the field can yield valuable insights. The Journal of Medical Internet Research (JMIR) has been at the forefront of disseminating digital health research since 1999. A comprehensive network analysis of JMIR publications can help illuminate the evolution and trends in digital medicine over the past 25 years.
This study aims to conduct a detailed network analysis of JMIR's publications to uncover the growth patterns, dominant themes, and potential future trajectories in digital health research.
We retrieved 8068 JMIR papers from PubMed using the Biopython library. Keyword metrics were assessed using accuracy, recall, and F-scores to evaluate the effectiveness of keyword identification from Claude 3 Opus and Gemini 1.5 Pro in addition to 2 conventional natural language processing methods using key bidirectional encoder representations from transformers. Future trends for 2024-2026 were predicted using Claude 3 Opus, Google's Time Series Foundation Model, autoregressive integrated moving average, exponential smoothing, and Prophet. Network visualization techniques were used to represent and analyze the complex relationships between collaborating countries, paper types, and keyword co-occurrence.
JMIR's publication volume showed consistent growth, with a peak in 2020. The United States dominated country contributions, with China showing a notable increase in recent years. Keyword analysis from 1999 to 2023 showed significant thematic shifts, from an early internet and digital health focus to the dominance of COVID-19 and advanced technologies such as machine learning. Predictions for 2024-2026 suggest an increased focus on artificial intelligence, digital health, and mental health.
Network analysis of JMIR publications provides a macroscopic view of the evolution of the digital health field. The journal's trajectory reflects broader technological advances and shifting research priorities, including the impact of the COVID-19 pandemic. The predicted trends underscore the growing importance of computational technology in future health care research and practice. The findings from JMIR provide a glimpse into the future of digital medicine, suggesting a robust integration of artificial intelligence and continued emphasis on mental health in the postpandemic era.
随着数字健康领域的持续发展，分析该领域的进展和方向可以提供有价值的见解。《医学互联网研究杂志》（JMIR）自 1999 年以来一直处于传播数字健康研究的前沿。对 JMIR 出版物进行全面的网络分析，可以帮助阐明过去 25 年来数字医学的演变和趋势。
本研究旨在对 JMIR 的出版物进行详细的网络分析，以揭示数字健康研究中的增长模式、主导主题和潜在未来轨迹。
我们使用 Biopython 库从 PubMed 中检索了 8068 篇 JMIR 论文。使用准确性、召回率和 F 分数评估关键字度量，以评估 Claude 3 Opus 和 Gemini 1.5 Pro 从 Claude 3 Opus 和 Gemini 1.5 Pro 中识别关键字的有效性，以及使用来自变压器的关键双向编码器表示的 2 种传统自然语言处理方法。使用 Claude 3 Opus、Google 的时间序列基础模型、自回归综合移动平均、指数平滑和 Prophet 对 2024-2026 年的未来趋势进行预测。使用网络可视化技术表示和分析合作国家、论文类型和关键字共现之间的复杂关系。
JMIR 的出版量呈持续增长趋势，2020 年达到峰值。美国在国家贡献方面占据主导地位，中国近年来的贡献显著增加。1999 年至 2023 年的关键字分析显示出显著的主题转变，从早期的互联网和数字健康重点转向 COVID-19 和机器学习等先进技术的主导地位。对 2024-2026 年的预测表明，人工智能、数字健康和心理健康的关注度将会增加。
对 JMIR 出版物的网络分析提供了数字健康领域演变的宏观视图。该杂志的轨迹反映了更广泛的技术进步和研究重点的转变，包括 COVID-19 大流行的影响。预测趋势强调了计算技术在未来医疗保健研究和实践中的重要性日益增加。从 JMIR 中得出的研究结果为数字医学的未来提供了一个视角，表明在后疫情时代人工智能的强大整合和对心理健康的持续关注。
