Automatic classification of experimental models in biomedical literature to support searching for alternative methods to animal experiments.

ABSTRACT: Current animal protection laws require replacement of animal experiments with alternative methods, whenever such methods are suitable to reach the intended scientific objective. However, searching for alternative methods in the scientific literature is a time-consuming task that requires careful screening of an enormously large number of experimental biomedical publications. The identification of potentially relevant methods, e.g. organ or cell culture models, or computer simulations, can be supported with text mining tools specifically built for this purpose. Such tools are trained (or fine tuned) on relevant data sets labeled by human experts. We developed the GoldHamster corpus, composed of 1,600 PubMed (Medline) articles (titles and abstracts), in which we manually identified the used

SUBMITTER: Neves M 

PROVIDER: S-EPMC10472567 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature