Decoding the Digital Pulse: Bibliometric Analysis of 25 Years in Digital Health Research Through the Journal of Medical Internet Research

Digital Health
DOI: 10.2196/60057 Publication Date: 2024-11-15T20:01:02Z
ABSTRACT
Background As the digital health landscape continues to evolve, analyzing progress and direction of field can yield valuable insights. The Journal Medical Internet Research (JMIR) has been at forefront disseminating research since 1999. A comprehensive network analysis JMIR publications help illuminate evolution trends in medicine over past 25 years. Objective This study aims conduct a detailed JMIR’s uncover growth patterns, dominant themes, potential future trajectories research. Methods We retrieved 8068 papers from PubMed using Biopython library. Keyword metrics were assessed accuracy, recall, F1-scores evaluate effectiveness keyword identification Claude 3 Opus Gemini 1.5 Pro addition 2 conventional natural language processing methods key bidirectional encoder representations transformers. Future for 2024-2026 predicted Opus, Google’s Time Series Foundation Model, autoregressive integrated moving average, exponential smoothing, Prophet. Network visualization techniques used represent analyze complex relationships between collaborating countries, paper types, co-occurrence. Results publication volume showed consistent growth, with peak 2020. United States dominated country contributions, China showing notable increase recent 1999 2023 significant thematic shifts, an early internet focus dominance COVID-19 advanced technologies such as machine learning. Predictions suggest increased on artificial intelligence, health, mental health. Conclusions provides macroscopic view field. journal’s trajectory reflects broader technological advances shifting priorities, including impact pandemic. underscore growing importance computational technology care practice. findings provide glimpse into medicine, suggesting robust integration intelligence continued emphasis postpandemic era.
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