Data-driven research on eczema: Systematic characterization of the field and recommendations for the future.

ABSTRACT:

Background

The past decade has seen a substantial rise in the employment of modern data-driven methods to study atopic dermatitis (AD)/eczema. The objective of this study is to summarise the past and future of data-driven AD research, and identify areas in the field that would benefit from the application of these methods.

Methods

We retrieved the publications that applied multivariate statistics (MS), artificial intelligence (AI, including machine learning-ML), and Bayesian statistics (BS) to AD and eczema research from the SCOPUS database over the last 50 years. We conducted a bibliometric analysis to highlight the publication trends and conceptual knowledge structure of the field, and applied topic modelling to retrieve the key topics in the literature.

Results

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SUBMITTER: Duverdier A 

PROVIDER: S-EPMC9172212 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature