Machine Learning in Health Economic Evaluations: Protocol for a Scoping Review.

ABSTRACT:

Background

In recent years, the development of machine learning (ML) applications has increased substantially, indicating the potential role of ML in transforming health care. However, the integration of ML approaches into health economic evaluations is underexplored and has several challenges.

Objective

This scoping review aims to explore the applications of ML in health economic evaluations. This review will also seek to identify some potential challenges to the use of ML in health economic evaluations.

Methods

This review will use PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) methods. The search will be conducted on MEDLINE (Ovid), Embase (Ovid), IEEE Xplore, and Cochrane Library databases. The eligibi

SUBMITTER: Daghash H 

PROVIDER: S-EPMC12508662 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature