Development and internal validation of a diagnostic prediction model for psoriasis severity.

ABSTRACT:

Background

While administrative health records such as national registries may be useful data sources to study the epidemiology of psoriasis, they do not generally contain information on disease severity.

Objectives

To develop a diagnostic model to distinguish psoriasis severity based on administrative register data.

Method

We conducted a retrospective registry-based cohort study using the Danish Skin Cohort linked with the Danish national registries. We developed a diagnostic model using a gradient boosting machine learning technique to predict moderate-to-severe psoriasis. We performed an internal validation of the model by bootstrapping to account for any optimism.

Results

Among 4016 adult psoriasis patients (55.8% women, mean age 59 years) included in this

SUBMITTER: Liljendahl MS 

PROVIDER: S-EPMC9903561 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature