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A proteomic survival predictor for COVID-19 patients in intensive care
PA-COVID-19 Study group
School of Physics, Engineering & Computer Science
Research output
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Contribution to journal
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Article
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peer-review
45
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Dive into the research topics of 'A proteomic survival predictor for COVID-19 patients in intensive care'. Together they form a unique fingerprint.
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Keyphrases
COVID-19 Patients
100%
Intensive Care
100%
Survival Prediction
100%
Proteomics
100%
Survivors
50%
Area under the Receiver Operating Characteristic (AUROC)
50%
APACHE II Score
50%
Invasive Mechanical Ventilation
50%
Clinical Trials
25%
Risk Assessment
25%
Complement Cascade
25%
Plasma Proteins
25%
Human Physiology
25%
SOFA Score
25%
Non-survivors
25%
Coagulation System
25%
COVID-19 Pandemic
25%
Plasma Proteomics
25%
Prognostic Factors
25%
Experimental Therapeutics
25%
Validation Cohort
25%
COVID-19 Outcomes
25%
Severely Ill
25%
Critically Ill Patients
25%
Global Health Care
25%
Charlson Comorbidity Index
25%
Resource Allocation Optimization
25%
Severe COVID-19
25%
Health Systems
25%
Accurate Classification
25%
Prognostic Marker
25%
Protein Clusters
25%
WHO Grade
25%
Prediction Model
25%
Treatment Level
25%
Data-driven Analysis
25%
Medicine and Dentistry
COVID-19
100%
Intensive Care
100%
Proteomics
100%
Survival Prediction
100%
Artificial Respiration
40%
APACHE II
40%
Clinical Trial
20%
SOFA Score
20%
Blood Clotting
20%
Blood Proteins
20%
Experimental Therapy
20%
Charlson Comorbidity Index
20%
Human Physiology
20%
Pharmacology, Toxicology and Pharmaceutical Science
Plasma Protein
100%
Clinical Trial
100%
Survival Prediction
100%
Comorbidity
100%
Pandemic
100%
Biochemistry, Genetics and Molecular Biology
Survival Prediction
100%
Proteomics
100%
Blood Plasma
25%
Blood Proteins
25%
Coagulation System
25%
Comorbidity
25%
Clinical Trial
25%