Uncovering distinct clinical phenotypes in disseminated intravascular coagulation through machine learning-enabled cluster analysis

Authors

Institutions

Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2026-02-25
DOI
https://doi.org/10.3389/fmolb.2026.1699476
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncovering distinct clinical phenotypes in disseminated intravascular coagulation through machine learning-enabled cluster analysis

Qingbo Zeng, Junjie Zeng, Qingwei Lin, Jingchun Song et al.
Frontiers in Molecular Biosciences
Sepsis Diagnosis and Treatment
article

Uncovering distinct clinical phenotypes in disseminated intravascular coagulation through machine learning-enabled cluster analysis

Qingbo Zeng, Junjie Zeng, Qingwei Lin, Jingchun Song, Lincui Zhong, Longping He
article en

Abstract

No abstract available for this paper.
Frontiers in Molecular BiosciencesVol. 13
Hemostasis and Thrombosis Research Society (US), 81th Hospital of PLA (CN), Thrombosis Research Institute (GB), American Thrombosis and Hemostasis Network (US), Anyang Hospital of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 44%
Sepsis Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.