Ascle-A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study.

ABSTRACT:

Background

Medical texts present significant domain-specific challenges, and manually curating these texts is a time-consuming and labor-intensive process. To address this, natural language processing (NLP) algorithms have been developed to automate text processing. In the biomedical field, various toolkits for text processing exist, which have greatly improved the efficiency of handling unstructured text. However, these existing toolkits tend to emphasize different perspectives, and none of them offer generation capabilities, leaving a significant gap in the current offerings.

Objective

This study aims to describe the development and preliminary evaluation of Ascle. Ascle is tailored for biomedical researchers and clinical staff with an easy-to-use, all-in-one solution that

SUBMITTER: Yang R 

PROVIDER: S-EPMC11487205 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature