Electronic health records (EHRs) are prevalent throughout the United States. EHR data are
stored in structured (eg, vital signs and laboratory results) and unstructured (eg, progress …

This study reveals themes and trends in accounting research over the past 20 years by
utilizing natural language processing and text‐mining techniques. We generated a corpus …

Objective Among the stakeholders of COVID-19 research, clinicians particularly experience
difficulty keeping up with the deluge of SARS-CoV-2 literature while performing their much …

Objective: To identify major research topics and exhibit trends in these topics in 15 health
services research, health policy, and health economics journals over 2 decades. Data …

Collaborative innovation is an effective way to realize national innovation and sustainable
development. The Chinese government has issued a series of Industry–University …

Aim This study is set to determine the main topics of the nursing field and to show the
changing perspectives over time by analysing the abstracts of several major nursing …

Background Advances in natural language processing and text mining provide a powerful
approach to understanding trending themes in the health care management literature …

Study objective There is scant research identifying thematic trends within medical research.
This work may provide insight into how a given field values certain topics. We assessed the …

Background The rapid growth in cancer research continues expanding the literature. Text
mining approaches help make sense of large bodies of scientific literature and integrate the …

Abstract Background During COVID-19, a Kaggle challenge was issued to data scientists to
leverage text mining to provide high-level summaries of full-text articles in the COVID-19 …