Predicting ICU readmission risks in intracerebral hemorrhage patients: Insights from machine learning models using MIMIC databases
Intracerebral hemorrhage (ICH) is a stroke subtype characterized by high mortality and complex post-event complications. Research has extensively covered the acute phase of ICH; however, ICU readmission determinants remain less explored. Utilizing the MIMIC-III and MIMIC-IV databases, this investigation develops machine learning (ML) models to anticipate ICU readmissions in ICH patients.
Source: Journal of the Neurological Sciences - Category: Neurology Authors: Jinfeng Miao, Chengchao Zuo, Huan Cao, Zhongya Gu, Yaqi Huang, Yu Song, Furong Wang Source Type: research
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