Evidence map›Paper›PMID 41536988›Full record

ArticleiScience2026

Contextualized biomedical language processing enhances ICU survival prediction.

Rui Chen, Yu Cai, Sitong Zhang, Zirong Huo, Mingming Song, Wenqing Li, Dongyan Yang, Seungyong Hwang, Ling Bai, Fuxin Han and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Rui ChenCollege of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, People's Republic of China.
Yu CaiCollege of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, People's Republic of China.
Sitong ZhangCollege of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, People's Republic of China.
Zirong HuoCollege of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, People's Republic of China.
Mingming SongCollege of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, People's Republic of China.
Wenqing LiCollege of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, People's Republic of China.
Dongyan YangCollege of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, People's Republic of China.
Seungyong HwangDepartment of Statistics and Research Institute of Applied Statistics, Chonbuk National University, Jeonju, Jeonbuk-do 54896, Republic of Korea.
Ling BaiDepartment of Ophthalmology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, People's Republic of China.
Fuxin HanDepartment of Neurocritical Care, The Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xi'an, Shaanxi 712000, People's Republic of China.
Xi ZhangDepartment of Ophthalmology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate prediction of intensive care unit (ICU) survival remains challenging due to heterogeneous clinical data. This study shows that contextualized biomedical language processing markedly enhances ICU survival prediction. Multimodal models integrating structured laboratory data with unstructured text (chief complaints and International Classification of Diseases [ICD] entries) were trained and validated using MIMIC-IV, MIMIC-III, and eICU datasets. The BioBERT-enhanced convolutional neural network achieved area under the receiver operating characteristic curves (AUROCs) of 0.889 (strict cohort,

Indexed as

BioinformaticsNatural language processing

Identifiers

PMID41536988
PMCPMC12796750

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.