A Pathological Diagnosis Method for Fever of Unknown Origin Based on Multipath Hierarchical Classification: Model Design and Validation.

ABSTRACT:

Background

Fever of unknown origin (FUO) is a significant challenge for the medical community due to its association with a wide range of diseases, the complexity of diagnosis, and the likelihood of misdiagnosis. Machine learning can extract valuable information from the extensive data of patient indicators, aiding doctors in diagnosing the underlying cause of FUO.

Objective

The study aims to design a multipath hierarchical classification algorithm to diagnose FUO due to the hierarchical structure of the etiology of FUO. In addition, to improve the diagnostic performance of the model, a mechanism for feature selection is added to the model.

Methods

The case data of patients with FUO admitted to the First Affiliated Hospital of Xi'an Jiaotong University between 2011 an

SUBMITTER: Du J 

PROVIDER: S-EPMC11649203 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature