Predictive model for early death risk in pediatric hemophagocytic lymphohistiocytosis patients based on machine learning.

ABSTRACT:

Background

Hemophagocytic Lymphohistiocytosis (HLH) is a rare and life-threatening disease in children, with a high early mortality rate. This study aimed to construct machine learning model to predict the risk of early death using clinical indicators at the time of HLH diagnosis.

Methods

This observational cohort study was conducted at the National Clinical Research Center for Child Health and Disease. Data was collected from pediatric HLH patients diagnosed by the HLH-2004 protocol between January 2006 and December 2022. Six machine learning models were constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) to select key clinical indicators for model construction.

Results

The study included 587 pediatric HLH patients, and the early mortality r

SUBMITTER: Xiao L 

PROVIDER: S-EPMC10692822 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature