A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning.

ABSTRACT:

Introduction

Pancreatic cancer is associated with poor prognosis. Considering the increased global incidence of diabetes cases and that individuals with diabetes are considered a high-risk subpopulation for pancreatic cancer, it is critical to detect the risk of pancreatic cancer within populations of person living = with diabetes. This study aimed to develop a novel prediction model for pancreatic cancer risk among patients with diabetes, using = a real-world database containing clinical features and employing numerous artificial intelligent approach algorithms.

Methods

This retrospective observational study analyzed data on patients with Type 2 diabetes from a multisite Taiwanese EMR database between 2009 and 2019. Predictors were selected in accordance with the literature

SUBMITTER: Chen SM 

PROVIDER: S-EPMC10587954 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature