Pancreatic hormones response-generated machine learning model to help distinguish sporadic pancreatic cancer from new-onset diabetes cohort.

Volume: 39, Issue: 15_suppl, Pages: e16235 - e16235
Published: May 20, 2021
Abstract
e16235 Background: Diabetes mellitus (DM), a paraneoplastic phenomenon, can develop earlier than other symptoms in pancreatic cancer (PaC) patients. Enhanced surveillance is encouraged on all elderly patients with new-onset DM. However, it is a challenge to differentiate newly developed PaCDM from type 2 DM (T2DM). Thus, we investigated the differences of pancreatic hormones responses and functions between PaCDM and T2DM patients, and developed...
Paper Details
Title
Pancreatic hormones response-generated machine learning model to help distinguish sporadic pancreatic cancer from new-onset diabetes cohort.
Published Date
May 20, 2021
Volume
39
Issue
15_suppl
Pages
e16235 - e16235
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.