Back to search

Article

Genomic Machine Learning Model Predicts Radiation Therapy Benefit in Early-Stage Breast Cancer Patients with High Accuracy 

2022-02-10

Abstract excerpt

<h4>Background: </h4> Radiation therapy (RT) is frequently recommended for post-surgery treatment of early-stage breast cancer (BC) patients, though not all benefit. Clinical factors currently guide RT treatment decisions. At present, models to predict RT-benefit predominantly use statistical methods with modest performance. In this paper we present a high-accuracy genomic Machine Learning (ML) model to predict RT...

Topics

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

Identifiers and source

Literature Corpus work
63012cdb-8acc-57dd-8630-f872d16f558e
DOI
10.21203/rs.3.rs-1209026/v2
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.
Genomic Machine Learning Model Predicts Radiation Therapy Benefit in Early-Stage Breast Cancer Patients with High AccuracyDOI 10.21203/rs.3.rs-1209026/v2
Select a neighboring publication to make it the new centre.