Research graph
References from Clinically Contextualized State Spaces Provide Continuous Representations of Sepsis. Local targets link to admitted publications; unresolved targets remain external evidence.
Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study
10.1016/s0140-6736(19)32989-7 · 2020 · External reference
Epidemiology, Patterns of Care, and Mortality for Patients With Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries
10.1001/jama.2016.0291 · 2016 · External reference
Redefining critical illness
10.1038/s41591-022-01843-x · 2022 · External reference
10.1097/ccm.0b013e318232da75
10.1097/ccm.0b013e318232da75 · 2012 · External reference
Approaches to Addressing Post–Intensive Care Syndrome among Intensive Care Unit Survivors. A Narrative Review
10.1513/annalsats.201812-913fr · 2019 · External reference
Acute skeletal muscle wasting and dysfunction predict physical disability at hospital discharge in patients with critical illness
10.1186/s13054-020-03355-x · 2020 · External reference
Impaired long-term quality of life in survivors of severe sepsis: Chinese multicenter study over 6 years
10.1007/s00101-013-2257-8 · 2013 · External reference
Long-term outcome after the acute respiratory distress syndrome: different from general critical illness?
10.1097/mcc.0000000000000476 · 2018 · External reference
The Cost of ARDS
10.1016/j.chest.2021.08.057 · 2022 · External reference
Sepsis therapies: learning from 30 years of failure of translational research to propose new leads
10.15252/emmm.201810128 · 2020 · External reference
Post–Intensive Care Syndrome. JAMA
10.1001/jama.2025.23666 · 2026 · External reference
Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis
10.1001/jama.2019.5791 · 2019 · External reference
Sepsis subphenotyping based on organ dysfunction trajectory
10.1186/s13054-022-04071-4 · 2022 · External reference
Classification of patients with sepsis according to blood genomic endotype: a prospective cohort study
10.1016/s2213-2600(17)30294-1 · 2017 · External reference
Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters
10.1097/ccm.0000000000003084 · 2018 · External reference
Multi-cohort analysis of host immune response identifies conserved protective and detrimental modules associated with severity across viruses
10.1016/j.immuni.2021.03.002 · 2021 · External reference
A consensus immune dysregulation framework for sepsis and critical illnesses
10.1038/s41591-025-03956-5 · 2025 · External reference
Unresolved reference
2024 · External reference
Exploring disease axes as an alternative to distinct clusters for characterizing sepsis heterogeneity
10.1007/s00134-023-07226-1 · 2023 · External reference
Partial least squares analysis with cross-validation for the two‐class problem: A Monte Carlo study
10.1002/cem.1180010306 · 1987 · External reference
Partial least squares for discrimination
10.1002/cem.785 · 2003 · External reference
Accurate predictions on small data with a tabular foundation model
10.1038/s41586-024-08328-6 · 2025 · External reference
The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
10.1001/jama.2016.0287 · 2016 · External reference
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
10.1038/sdata.2018.178 · 2018 · External reference
Visualizing structure and transitions in high-dimensional biological data
10.1038/s41587-019-0336-3 · 2019 · External reference
Scikit-learn: Machine Learning in Python
10.48550/arxiv.1201.0490 · 2012 · External reference
