Development and validation of a machine learning model for differential diagnosis of malignant pleural effusion using routine laboratory data.

ABSTRACT:

Background

The differential diagnosis of malignant pleural effusion (MPE) and benign pleural effusion (BPE) presents a clinical challenge. In recent years, the use of artificial intelligence (AI) machine learning models for disease diagnosis has increased.

Objective

This study aimed to develop and validate a diagnostic model for early differentiation between MPE and BPE based on routine laboratory data.

Design

This was a retrospective observational cohort study.

Methods

A total of 2352 newly diagnosed patients with pleural effusion (PE), between January 2008 and March 2021, were eventually enrolled. Among them, 1435, 466, and 451 participants were randomly assigned to the training, validation, and testing cohorts in a ratio of 3:1:1. Clinical parameters, includ

SUBMITTER: Wei TT 

PROVIDER: S-EPMC10637149 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature