Modelling physiological deterioration in post-operative patient vital-sign data

Modelling physiological deterioration in post-operative patient vital-sign data

Εμφάνιση άλλων εκδόσεων (1)

Patients who undergo upper-gastrointestinal surgery have a high incidence of post-operative complications, often requiring admission to the intensive care unit several days after surgery. A dataset comprising observational vital-sign data from 171 post-operative patients taking part in a two-phase c...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Pimentel, M, Clifton, D, Clifton, L, Watkinson, P, Tarassenko, L
Μορφή:	Journal article
Γλώσσα:	English
Έκδοση:	2013

Παρόμοια τεκμήρια

Modelling physiological deterioration in post-operative patient vital-sign data
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Vital-sign data fusion models for post-operative patients
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Optimising classifiers for the detection of physiological deterioration in patient vital-sign data
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Identification of patient deterioration in vital-sign data using one-class support vector machines
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A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement.
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Monitoring patient vital-sign deterioration trajectories using Bayesian inference
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Gaussian process regression in vital-sign early warning systems.
ανά: Clifton, L, κ.ά.
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Gaussian process regression in vital-sign early warning systems.
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A Bayesian patient-based model for detecting deterioration in vital signs using manual observations
ανά: Khalid, S, κ.ά.
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Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data
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'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.
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Modelling of vital-sign data from post-operative patients
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Trajectories of vital signs in patients with COVID-19
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Centile-based early warning scores derived from statistical distributions of vital signs.
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Patient-specific biomedical condition monitoring in post-operative cancer patients
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Reply to: Trajectories of vital signs in patients with Covid-19
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Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients
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Towards a Data Fusion Model for Predicting Deterioration in Dialysis Patients
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Data fusion models for detection of vital-sign deterioration in acutely ill patients
ανά: Khalid, S
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Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.
ανά: Tarassenko, L, κ.ά.
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The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis
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Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation
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