Back to search

Article

mCodeGPT: Enhancing Cancer Research through Zero-Shot Information Extraction from Clinical Free Text Data

2024-02-02

Abstract excerpt

<title>Abstract</title> <p>The rapidly growing collection of clinical free text data about cancer provides an unprecedented opportunity to harness rich, real-world insights for advancing cancer research and treatment. At the same time, there is a formidable challenge in efficiently extracting, standardizing, and structuring this vast and unstructured information to derive meaningful conclusions. In this paper, we...

Topics

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

Identifiers and source

Literature Corpus work
a5feb576-aef3-522e-ac58-87fcb1e6e29c
DOI
10.21203/rs.3.rs-3882757/v1
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.
mCodeGPT: Enhancing Cancer Research through Zero-Shot Information Extraction from Clinical Free Text DataDOI 10.21203/rs.3.rs-3882757/v1
Select a neighboring publication to make it the new centre.