Back to search

Article

Prognostic pan-cancer and single-cancer models: A large-scale analysis using a real-world clinico-genomic database

2023-12-19

Abstract excerpt

Prognostic models in oncology have a profound impact on personalized cancer care and patient profiling, but tend to be heterogeneously developed and implemented in narrow patient cohorts. Here, we develop and benchmark multiple machine learning models to predict survival in pan-cancer and 16 single-cancer settings using a de-identified clinico-genomic database of 28,079 US patients with cancer. We identify key pre...

Topics

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

Identifiers and source

Literature Corpus work
063bb598-e258-536d-83a8-009ee86f8248
DOI
10.1101/2023.12.18.23300166
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.
Prognostic pan-cancer and single-cancer models: A large-scale analysis using a real-world clinico-genomic databaseDOI 10.1101/2023.12.18.23300166
Select a neighboring publication to make it the new centre.