Dataset Information
Machine learning-driven dynamic prognosis for primary colorectal lymphoma.
Ontology highlight
ABSTRACT:
SUBMITTER: Xia G
PROVIDER: S-EPMC12905262 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature
Publications
Machine learning-driven dynamic prognosis for primary colorectal lymphoma.
Scientific reports 20260125 1
Primary colorectal lymphoma (PCL) is a rare extranodal non-Hodgkin lymphoma that is often diagnosed at an advanced stage, resulting in poor prognosis and challenges in survival prediction. This study aimed to evaluate conditional survival (CS) outcomes and develop a dynamic CS-nomogram for individualized prognostic assessment. Data from the Surveillance, Epidemiology, and End Results (SEER) database (2004–2021) were used to identify 2,743 patients with PCL. CS analysis was integrated with a rand ...[more]
