Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study.

ABSTRACT:

Background

Psoriasis (PsO) is a chronic, systemic, immune-mediated disease with multiorgan involvement. Psoriatic arthritis (PsA) is an inflammatory arthritis that is present in 6%-42% of patients with PsO. Approximately 15% of patients with PsO have undiagnosed PsA. Predicting patients with a risk of PsA is crucial for providing them with early examination and treatment that can prevent irreversible disease progression and function loss.

Objective

The aim of this study was to develop and validate a prediction model for PsA based on chronological large-scale and multidimensional electronic medical records using a machine learning algorithm.

Methods

This case-control study used Taiwan's National Health Insurance Research Database from January 1, 1999, to December 31, 2

SUBMITTER: Lee LT 

PROVIDER: S-EPMC10055385 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature