An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.

ABSTRACT:

Background

Fecal immunochemical testing (FIT) is an established method for colorectal cancer (CRC) screening. Measured FIT-concentrations are associated with both present and future risk of CRC, and may be used for personalized screening. However, evaluation of personalized screening is computationally challenging. In this study, a broadly applicable algorithm is presented to efficiently optimize personalized screening policies that prescribe screening intervals and FIT-cutoffs, based on age and FIT-history.

Methods

We present a mathematical framework for personalized screening policies and a bi-objective evolutionary algorithm that identifies policies with minimal costs and maximal health benefits. The algorithm is combined with an established microsimulation model (MISCAN-

SUBMITTER: van Duuren LA 

PROVIDER: S-EPMC8826712 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature