Development and Validation of a Machine Learning-Based Nomogram for Prediction of Ankylosing Spondylitis.

ABSTRACT:

Introduction

Ankylosing spondylitis (AS) is a chronic progressive inflammatory disease of the spine and its affiliated tissues. AS mainly affects the axial bone, sacroiliac joint, hip joint, spinal facet, and adjacent ligaments. We used machine learning (ML) methods to construct diagnostic models based on blood routine examination, liver function test, and kidney function test of patients with AS. This method will help clinicians enhance diagnostic efficiency and allow patients to receive systematic treatment as soon as possible.

Methods

We consecutively screened 348 patients with AS through complete blood routine examination, liver function test, and kidney function test at the First Affiliated Hospital of Guangxi Medical University according to the modified New York criter

SUBMITTER: Zhu J 

PROVIDER: S-EPMC9510083 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature