Patient-Level Cancer Prediction Models From a Nationwide Patient Cohort: Model Development and Validation.

ABSTRACT:

Background

Nationwide population-based cohorts provide a new opportunity to build automated risk prediction models at the patient level, and claim data are one of the more useful resources to this end. To avoid unnecessary diagnostic intervention after cancer screening tests, patient-level prediction models should be developed.

Objective

We aimed to develop cancer prediction models using nationwide claim databases with machine learning algorithms, which are explainable and easily applicable in real-world environments.

Methods

As source data, we used the Korean National Insurance System Database. Every Korean in ≥40 years old undergoes a national health checkup every 2 years. We gathered all variables from the database including demographic information, basic laborator

SUBMITTER: Lee E 

PROVIDER: S-EPMC8438609 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature