Evidence map›Paper›PMID 42305595›Full record

ArticleiScience2026

Predicting ICU in-hospital mortality from text-encoded structured EHR data using adaptive transformer layer fusion.

Han Wang, Guoguang Lao, Ruoyun He, Ting Liu, Hejiao Luo, Changqi Qin, Hongying Luo, Yingqi Liu, Junmin Huang, Zihan Wei and 10 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. Efficient and accurate medical AI: MediLore and MediOut.Frontiers in artificial intelligence · 2026
    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

20 authors.

Han WangDepartment of Otorhinolaryngology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China.
Guoguang LaoDepartment of Otorhinolaryngology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China.
Ruoyun HeDepartment of Otorhinolaryngology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China.
Ting LiuDepartment of Otorhinolaryngology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China.
Hejiao LuoDepartment of Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Changqi QinCICU, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Hongying LuoGuangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Yingqi LiuFirst Clinical College, Guangdong Medical University, Zhanjiang, China.
Junmin HuangGuangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Zihan WeiGuangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Lu ChenGuangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Yongzhi XuGuangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Ziqian BiBeijing University of Technology, Beijing 100124, China.
Junhao SongChina Agricultural University, Beijing 100083, China.
Tianyang WangXi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Xin Liang ChiaJTB Technology Corp., Tainan 741, Taiwan.
Xuanhe HouDepartment of Radiation Oncology (MAASTRO), GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands.
Huafeng LiuGuangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Junfeng HaoGuangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Chunjie TianDepartment of Otorhinolaryngology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of ICU patients at high mortality risk is essential for triage and timely intervention. We present adaptive layer fusion with intelligent attention (ALFIA), a modular architecture that jointly trains low-rank adaptation (LoRA) adapters and an adaptive layer-weighting mechanism to fuse multi-layer semantic features from a pretrained transformer backbone. ALFIA operates on

Indexed as

Health sciencesIntensive care medicineInternal medicineMedical specialtyMedicine

Identifiers

PMID42305595
PMCPMC13266190

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.