Back to search

Article

Development and Application of Natural Language Processing on Unstructured Data in Hypertension: A Scoping Review

2024-02-29

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Hypertension is a global health concern with a vast body of unstructured data, such as clinical notes, diagnosis reports, and discharge summaries, that can provide valuable insights. Natural Language Processing (NLP) has emerged as a powerful tool for extracting knowledge from unstructured data. This scoping review aims to explore the development and application of NLP on unst...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
622b27d3-fb01-591b-ab3a-5adb9ee16955
DOI
10.1101/2024.02.27.24303468
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development and Application of Natural Language Processing on Unstructured Data in Hypertension: A Scoping ReviewDOI 10.1101/2024.02.27.24303468
Select a neighboring publication to make it the new centre.