Assessing in-hospital mortality risk in ICU lung cancer patients using machine learning: An analysis based on the MIMIC-IV database.

<h4>Background</h4>Patients with advanced lung cancer admitted to the intensive care unit (ICU) face a substantially elevated risk of in-hospital mortality. Early identification of high-risk individuals is essential to support timely clinical decision-making. This study aimed to develop and validate...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Jianwei Wang, Lizhen Lin, Li-Ping Qiu, Li-Lan Zheng, Lu-Xi Wu, Hui Lv, Haihua Xie
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Public Library of Science (PLoS) 2026-01-01
Sarja:	PLoS ONE
Linkit:	https://doi.org/10.1371/journal.pone.0341259
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