ArticleFrontiers in computational neuroscience2021
Mechanical Learning for Prediction of Sepsis-Associated Encephalopathy.
Article in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
What it found
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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.
The trial behind it
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Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Risk prediction models for sepsis-associated encephalopathy: a systematic evaluation and meta-analysis.PeerJ · 2026Pooled it
- Diagnostic models for sepsis-associated encephalopathy: a comprehensive systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Systematic review of risk prediction models for sepsis-associated brain dysfunction.Frontiers in neurologyPooled it
- Predicting 28-day and 90-day mortality in microbiologically-confirmed sepsis: a retrospective cohort study.BMC infectious diseases · 2026Article
- Prognostic Factors and Risk Stratification in Malignant Tumor Patients With Sepsis: A Retrospective Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Relationship between antibiotic use and short-term risk of mortality in patients with sepsis-associated encephalopathy: a study based on the medical information mart for intensive care database.BMC infectious diseases · 2025Observational
- Impact of Pathogen Status on Sepsis-Associated Acute Respiratory Distress Syndrome Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Predicting outcomes in patients with sepsis-associated encephalopathy using prefrontal functional connectivity analysis.Scientific reports · 2025Article
- Article
- Optimal target mean arterial pressure for patients with sepsis-associated encephalopathy: a retrospective cohort study.BMC infectious diseases · 2024Article
- Review
- Clinical image of sepsis-associated encephalopathy midstHeliyon · 2024Article
- Enhancing predictions with a stacking ensemble model for ICU mortality risk in patients with sepsis-associated encephalopathy.The Journal of international medical research · 2024Article
- Prognostic analysis of elderly patients with pathogenic microorganisms positive for sepsis-associated encephalopathy.Frontiers in microbiology · 2024Article
- Development of a machine learning-based prediction model for sepsis-associated delirium in the intensive care unit.Scientific reports · 2023Article
- Texture Feature-Based Machine Learning Classification on MRI Image for Sepsis-Associated Encephalopathy Detection: A Pilot Study.Computational and mathematical methods in medicine · 2023Article
- New Strategies to Optimize Hemodynamics for Sepsis-Associated Encephalopathy.Journal of personalized medicine · 2022Article
- Pathogenesis of sepsis-associated encephalopathy: more than blood-brain barrier dysfunction.Molecular biology reports · 2022Review
- Machine learning for early prediction of sepsis-associated acute brain injury.Frontiers in medicine · 2022Article
- Development and Comparison of Predictive Models Based on Different Types of Influencing Factors to Select the Best One for the Prediction of OSAHS Prevalence.Frontiers in psychiatry · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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What OpenQuestion holds
Registered trials
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.