Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients.

ABSTRACT:

Objective

To understand the infection characteristics and risk factors for infection by analyzing multicenter clinical data of newly diagnosed multiple myeloma (NDMM) patients.

Methods

This study reviewed 564 NDMM patients from 2 large tertiary hospitals from January 2018 to December 2021, of whom 395 comprised the training set and 169 comprised the validation set. Thirty-eight variables from first admission records were collected, including patient demographic characteristics, clinical scores and characteristics, laboratory indicators, complications, and medication history, and key variables were screened using the Lasso method. Multiple machine learning algorithms were compared, and the best performing algorithm was used to build a machine learning prediction model. The mo

SUBMITTER: Peng T 

PROVIDER: S-EPMC9880856 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature