Back to search

Article

PCa-Clf: A Classifier of Prostate Cancer Patients into Indolent and Aggressive Using Machine Learning

2023-07-07

Abstract excerpt

Accurately distinguishing between indolent and aggressive tumors is a crucial unmet need in the clinical management of prostate cancer (PCa). The traditional Gleason grading system has been utilized for this purpose; however, there is often ambiguity in classifying tumors with a Gleason grade of 7. Clinicians commonly resort to using secondary Gleason grades, such as 3+4 or 4+3, to classify these tumors as indolen...

Topics

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

Identifiers and source

Literature Corpus work
db06c8f9-174f-59eb-beaa-c0ebbdf8dbf8
DOI
10.20944/preprints202307.0503.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.
PCa-Clf: A Classifier of Prostate Cancer Patients into Indolent and Aggressive Using Machine LearningDOI 10.20944/preprints202307.0503.v1
Select a neighboring publication to make it the new centre.