Research progress on constructing risk prediction models for intracranial hemorrhage in premature infants based on machine learning

FU Yanyu; LIN Mei; LI Yujuan; DENG Xin; WANG Jiaying; HUANG Ting

doi:10.12102/j.issn.2095-8668.2025.22.012

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Home>Articles>Research progress on constructing risk prediction models for intracranial hemorrhage in premature infants based on machine learning

DOI: 10.12102/j.issn.2095-8668.2025.22.012

Research progress on constructing risk prediction models for intracranial hemorrhage in premature infants based on machine learning

FU Yanyu

LIN Mei

LI Yujuan

DENG Xin

WANG Jiaying

HUANG Ting

Abstract：This paper summarizes the relevant content of constructing a risk prediction model for intracranial hemorrhage in preterm infants based on machine learning. It reviews the concept, types, risk factors, and current research status of machine learning in building a prediction model for intracranial hemorrhage in preterm infants, aiming to provide references for the development and clinical application of such models.

Keywords：premature infantsintracranial hemorrhagemachine learningpredictive modelrisk factorsreviewnursing

Publication Date：2025-11-25

Online Publishing Date：2025-11-28(First online date of this platform, not the publication date of the document)

Pages：6( 4644-4649 )

Chinese Evidence-based Nursing

ISSN：2095-8668

Year, Vol.(Issue)：2025,11(22)