Back to search

Article

A Machine Learning–Based Prediction Model for Dysphagia After Radiotherapy in Nasopharyngeal Carcinoma Survivors

2026-05-04

Abstract excerpt

<title>Abstract</title> <p>Background Dysphagia is a common long-term complication in patients with nasopharyngeal carcinoma following radiotherapy, significantly impairing nutritional status and quality of life. Therefore, early identification of high-risk individuals and timely intervention are of critical importance. However, there is currently a lack of effective risk prediction tools that integrate multidim...

Topics

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

Identifiers and source

Literature Corpus work
5b8e6d59-4e6a-57b1-915a-5cac9019ce53
DOI
10.21203/rs.3.rs-9450763/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.
A Machine Learning–Based Prediction Model for Dysphagia After Radiotherapy in Nasopharyngeal Carcinoma SurvivorsDOI 10.21203/rs.3.rs-9450763/v1
Select a neighboring publication to make it the new centre.