Mapping vaccine names in clinical trials to vaccine ontology using cascaded fine-tuned domain-specific language models.

ABSTRACT:

Background

Vaccines have revolutionized public health by providing protection against infectious diseases. They stimulate the immune system and generate memory cells to defend against targeted diseases. Clinical trials evaluate vaccine performance, including dosage, administration routes, and potential side effects.

Clinicaltrials

gov is a valuable repository of clinical trial information, but the vaccine data in them lacks standardization, leading to challenges in automatic concept mapping, vaccine-related knowledge development, evidence-based decision-making, and vaccine surveillance.

Results

In this study, we developed a cascaded framework that capitalized on multiple domain knowledge sources, including clinical trials, the Unified Medical Language System (UMLS), a

SUBMITTER: Li J 

PROVIDER: S-EPMC11316402 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature