Using VLAD scores to have a look insight ICU performance: towards a modelling of the errors: VLAD score to model errors in ICU
Francesca foltran
Journal of Evaluation in Clinical Practice, 2010
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Internal Validation of the Predictive Performance of Models Based on Three ED and ICU Scoring Systems to Predict Inhospital Mortality for Intensive Care Patients Referred from the Emergency Department
zahra rahmatinejad
BioMed Research International
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Predicting the risk of death in patients in intensive care unit
Dariush Abtahi
Archives of Iranian medicine, 2007
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Artificial intelligence forecasting mortality at an intensive care unit and comparison to a logistic regression system
Beatriz Nistal-Nuño, Journal einstein (São Paulo)
einstein (São Paulo), 2019
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Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches
Farahnaz Sadoughi
BMC Medical Informatics and Decision Making
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A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part II: an illustrative example
Pierpaolo Giomarelli
BMC Medical Informatics and Decision Making, 2007
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An Application of Bayesian Approach in Modeling Risk of Death in an Intensive Care Unit
Noor Azina Ismail
PloS one, 2016
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A Simplified Risk Scoring System to Predict Mortality in Cardiovascular Intensive Care Unit
budi yuli setianto
Cardiology Research
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Assessment of performance of four mortality prediction systems in a Saudi Arabian intensive care unit
Yaseen Arabi
Critical care (London, England), 2002
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Evaluation of Basic Parameters for Prediction of ICU Mortality
volkan inal
Journal of Critical and Intensive Care
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Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression
Claudio Martin
Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care
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Dynamic Bayesian Networks to predict sequences of organ failures in patients admitted to ICU
Ileana Baldi
Journal of Biomedical Informatics, 2014
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Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients
Ryan Delahanty
Critical care medicine, 2018
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Using machine‐learning methods to predict in‐hospital mortality through the Elixhauser index: A Medicare data analysis
Kristine Kulage
Research in Nursing & Health, 2023
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Mortality assessment in intensive care units via adverse events using artificial neural networks
Paulo Cortez
2006
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SAPS 3—From evaluation of the patient to evaluation of the intensive care unit.Part 2: Development of a prognostic model for hospital mortality at ICU admission
Ricardo Campos
Intensive Care Medicine, 2006
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Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: a cross-sectional study
Mohammed Mohammed
BMJ Open
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Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study
Rui Moreno
Intensive Care Medicine, 1997
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Machine Learning–Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance
Michael Dahlweid
Journal of Medical Internet Research, 2022
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Predicting ICU survival: A meta-level approach
Lefteris Gortzis
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Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands
Sylvia Brinkman
International Journal of Medical Informatics, 2022
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Administrative and Claims Data Help Predict Patient Mortality in Intensive Care Units by Logistic Regression: A Nationwide Database Study
Chien-Kun Ting
BioMed Research International, 2020
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ICU Outcome Predictions using Physiologic Trends in the First Two Days
Mehmet Kayaalp
Computing in cardiology, 2012
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Effectiveness of Scoring in Outcome Prediction of Elderly Patients in Intensive Care Units
Beliz Bilgili
2016
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Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Jens Schierbeck
The Lancet Digital Health, 2020
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Internal validation and evaluation of the predictive performance of models based on the PRISM-3 (Pediatric Risk of Mortality) and PIM-3 (Pediatric Index of Mortality) scoring systems for predicting mortality in Pediatric Intensive Care Units (PICUs)
zahra rahmatinejad
BMC Pediatrics
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Towards Personalized Intensive Care Decision Support Using a Bayesian Network: A Multicenter Glycemic Control Study
Normy Razak
IEIE Transactions on Smart Processing & Computing, 2019
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To develop a regional ICU mortality prediction model during the first 24 h of ICU admission utilizing MODS and NEMS with six other independent variables from the Critical Care Information System (CCIS) Ontario, Canada
Raymond Kao
Journal of Intensive Care, 2016
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Internal validation and comparison of the prognostic performance of models based on six emergency scoring systems to predict in-hospital mortality in the emergency department
zahra rahmatinejad
BMC Emergency Medicine, 2021
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Predicting ICU mortality: a comparison of stationary and nonstationary temporal models
Gilles Clermont
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