Clinical Information Extraction From Notes of Veterans With Lymphoid Malignancies: Natural Language Processing Study.

ABSTRACT:

Background

Clinical natural language processing (cNLP) techniques are commonly developed and used to extract information from clinical notes to facilitate clinical decision-making and research. However, they are less established for rare diseases such as lymphoid malignancies due to the lack of annotated data as well as the heterogeneity and complexity of how clinical information is documented. In addition, there is increasing evidence that cNLP techniques may be prone to biases embedded in clinical documentation or model development. These biases can result in disparities in performance when extracting clinical information or predicting patient outcomes.

Objective

This study aims to report the development and validation of a cNLP pipeline that extracts clinical information

SUBMITTER: He L 

PROVIDER: S-EPMC12530692 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature