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

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

Mostra altre versioni (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...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Pimentel, M, Clifton, D, Clifton, L, Watkinson, P, Tarassenko, L
Natura:	Journal article
Lingua:	English
Pubblicazione:	2013

Documenti analoghi

Modelling physiological deterioration in post-operative patient vital-sign data
di: Pimentel, M, et al.
Pubblicazione: (2013)

Vital-sign data fusion models for post-operative patients
di: Pimentel, M, et al.
Pubblicazione: (2012)

Optimising classifiers for the detection of physiological deterioration in patient vital-sign data
di: Khalid, S, et al.
Pubblicazione: (2011)

Identification of patient deterioration in vital-sign data using one-class support vector machines
di: Clifton, L, et al.
Pubblicazione: (2011)

A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement.
di: Khalid, S, et al.
Pubblicazione: (2012)

Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care
di: Tomlinson, H, et al.
Pubblicazione: (2018)

Monitoring patient vital-sign deterioration trajectories using Bayesian inference
di: Khalid, S, et al.
Pubblicazione: (2011)

Gaussian process regression in vital-sign early warning systems.
di: Clifton, L, et al.
Pubblicazione: (2012)

Gaussian process regression in vital-sign early warning systems.
di: Clifton, L, et al.
Pubblicazione: (2012)

A Bayesian patient-based model for detecting deterioration in vital signs using manual observations
di: Khalid, S, et al.
Pubblicazione: (2014)

Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data
di: Watkinson, P, et al.
Pubblicazione: (2018)

Towards assisted living via probabilistic vital-sign monitoring in the home
di: Clifton, D, et al.
Pubblicazione: (2011)

Modelling of vital-sign data from post-operative patients
di: Pimentel, M
Pubblicazione: (2015)

'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.
di: Clifton, D, et al.
Pubblicazione: (2015)

Trajectories of vital signs in patients with COVID-19
di: Pimentel, M, et al.
Pubblicazione: (2020)

Centile-based early warning scores derived from statistical distributions of vital signs.
di: Tarassenko, L, et al.
Pubblicazione: (2011)

Probabilistic Detection of Vital Sign Abnormality with Gaussian Process Regression
di: Wong, D, et al.
Pubblicazione: (2012)

Patient-specific biomedical condition monitoring in post-operative cancer patients
di: Clifton, D, et al.
Pubblicazione: (2009)

Reply to: Trajectories of vital signs in patients with Covid-19
di: Redfern, O, et al.
Pubblicazione: (2021)

Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients
di: Areia, C, et al.
Pubblicazione: (2021)

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
di: Shamout, F, et al.
Pubblicazione: (2019)

Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors.
di: Clifton, L, et al.
Pubblicazione: (2013)

Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model
di: Redfern, O, et al.
Pubblicazione: (2018)

Assessing the feasibility of non-contact vital sign monitoring
di: Watkinson, P, et al.
Pubblicazione: (2016)

Telemetry-based vital sign monitoring for ambulatory hospital patients
di: Orphanidou, C, et al.
Pubblicazione: (2009)

The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis
di: Areia, C, et al.
Pubblicazione: (2021)

Likelihood-based artefact detection in continuously-acquired patient vital signs
di: Colopy, G, et al.
Pubblicazione: (2017)

Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients
di: Neal Thurley, et al.
Pubblicazione: (2021-05-01)

Vital-sign circadian rhythms in patients prior to discharge from an ICU: a retrospective observational analysis of routinely recorded physiological data
di: Davidson, S, et al.
Pubblicazione: (2020)

Bayesian optimisation of personalised models for patient vital-sign monitoring
di: Colopy, GW, et al.
Pubblicazione: (2017)

Data fusion models for detection of vital-sign deterioration in acutely ill patients
di: Khalid, S
Pubblicazione: (2014)

Towards a Data Fusion Model for Predicting Deterioration in Dialysis Patients
di: Borhani, Y, et al.
Pubblicazione: (2010)

Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.
di: Tarassenko, L, et al.
Pubblicazione: (2014)

Probabilistic patient monitoring using extreme value theory: A multivariate, multimodal methodology for detecting patient deterioration
di: Hugueny, S, et al.
Pubblicazione: (2010)

Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors
di: Clifton, L, et al.
Pubblicazione: (2013)

Gaussian processes for personalized e-health monitoring with wearable sensors
di: Clifton, L, et al.
Pubblicazione: (2012)

Detecting deteriorating patients in hospital: development and validation of a novel scoring system
di: Pimentel, MAF, et al.
Pubblicazione: (2021)

A real-time wearable system for monitoring vital signs of COVID-19 patients in a hospital setting
di: Santos, MD, et al.
Pubblicazione: (2021)

Wearable vital signs monitoring for patients with asthma: a review
di: Talyor, L, et al.
Pubblicazione: (2022)

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
di: Jim Briggs, et al.
Pubblicazione: (2019-11-01)