Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis.
about
In silico modeling: methods and applications to trauma and sepsisAre all ICUs the same?Data collection and interpretation.Topological data analysis for discovery in preclinical spinal cord injury and traumatic brain injury.Common data elements for pediatric traumatic brain injury: recommendations from the working group on demographics and clinical assessment.Inducible protein-10, a potential driver of neurally controlled interleukin-10 and morbidity in human blunt trauma.A Chemical Engineer's Perspective on Health and DiseaseAltering physiological networks using drugs: steps towards personalized physiology.Computational approaches for translational clinical research in disease progression.Sepsis: Something old, something new, and a systems view.Exploiting time in electronic health record correlations.Alignment and clustering of breast cancer patients by longitudinal treatment history.Early hemostatic responses to trauma identified with hierarchical clustering analysis.Linear and nonlinear heart rate variability indexes in clinical practiceClot Formation Is Associated With Fibrinogen and Platelet Forces in a Cohort of Severely Injured Emergency Department Trauma Patients.Social determinants of health inequalities: towards a theoretical perspective using systems science.Computational and systems biology in trauma and sepsis: current state and future perspectives.Risk stratification of ICU patients using topic models inferred from unstructured progress notes.Prognostic physiology: modeling patient severity in Intensive Care Units using radial domain folding.Sepsis: from pattern to mechanism and back.Discretization of continuous features in clinical datasets.Use of models in identification and prediction of physiology in critically ill surgical patients.Complexity science to conceptualize health and disease: is it relevant to clinical medicine?Trending autoregulatory indices during treatment for traumatic brain injury.Translational approaches to coagulopathy after trauma: Towards targeted treatment.Novel representation of physiologic states during critical illness and recovery.A Systems Engineering Perspective on Homeostasis and Disease.
P2860
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P2860
Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis.
description
2010 nî lūn-bûn
@nan
2010 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Identification of complex meta ...... ioinformatic cluster analysis.
@ast
Identification of complex meta ...... ioinformatic cluster analysis.
@en
type
label
Identification of complex meta ...... ioinformatic cluster analysis.
@ast
Identification of complex meta ...... ioinformatic cluster analysis.
@en
prefLabel
Identification of complex meta ...... ioinformatic cluster analysis.
@ast
Identification of complex meta ...... ioinformatic cluster analysis.
@en
P2093
P2860
P356
P1433
P1476
Identification of complex meta ...... ioinformatic cluster analysis.
@en
P2093
Adam D Grossman
Diane Morabito
Geoffrey T Manley
M Margaret Knudson
Mitchell J Cohen
P2860
P2888
P356
10.1186/CC8864
P50
P577
2010-02-02T00:00:00Z
P5875
P6179
1043603088