The predictive value of serological markers for successful weaning and 30-day mortality in patients with severe intracerebral hemorrhage
Bowen Yang, Xiaodong Huang, Li He, Yu Zhang, Lingling Duan, Zhan Wang, Yanfeng Zhu, Junti Lu · 2026
Read The predictive value of serological markers for successful weaning and 30-day mortality in patients with severe intracerebral hemorrhage by Bowen Yang, Xiaodong Huang, Li He, Yu Zhang, Lingling Duan, Zhan Wang, Yanfeng Zhu, Junti Lu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13191946.txt.
Description
Yang and co-authors test whether blood markers can predict recovery after severe brain bleeding in this 2026 study. Patients with severe intracerebral hemorrhage often need ventilators. Knowing who can come off the machine, and who may die within 30 days, guides care.
The team drew 1,058 patients from the MIMIC-IV intensive care database, of whom 242 were weaned successfully. They ranked blood features with a random forest, then built nine machine learning models for each outcome. The best weaning model scored only 0.58 in area under the curve. The best mortality model, a random forest, reached 0.693. The authors report the limits honestly: blood markers alone predict weakly.
Catalog record
| CREATOR | Bowen Yang, Xiaodong Huang, Li He, Yu Zhang, Lingling Duan, Zhan Wang, Yanfeng Zhu, Junti Lu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |