Cargando…

Predicting Hemodynamic Failure Development in PICU Using Machine Learning Techniques

The present work aims to identify the predictors of hemodynamic failure (HF) developed during pediatric intensive care unit (PICU) stay testing a set of machine learning techniques (MLTs), comparing their ability to predict the outcome of interest. The study involved patients admitted to PICUs betwe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Comoretto, Rosanna I., Azzolina, Danila, Amigoni, Angela, Stoppa, Giorgia, Todino, Federica, Wolfler, Andrea, Gregori, Dario
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303657/ https://www.ncbi.nlm.nih.gov/pubmed/34359385 http://dx.doi.org/10.3390/diagnostics11071299

Ejemplares similares

Unplanned and medical admissions to pediatric intensive care units significantly decreased during COVID-19 outbreak in Northern Italy
por: Sperotto, Francesca, et al.
Publicado: (2020)

A SuperLearner-enforced approach for the estimation of treatment effect in pediatric trials
por: Azzolina, Danila, et al.
Publicado: (2023)

COVID-19 hospitalizations and patients' age at admission: The neglected importance of data variability for containment policies
por: Azzolina, Danila, et al.
Publicado: (2022)

Predicting in-Hospital Mortality of Patients with COVID-19 Using Machine Learning Techniques
por: Tezza, Fabiana, et al.
Publicado: (2021)

Automatic Forecast of Intensive Care Unit Admissions: The Experience During the COVID-19 Pandemic in Italy
por: Azzolina, Danila, et al.
Publicado: (2023)

Fitting Early Phases of the COVID-19 Outbreak: A Comparison of the Performances of Used Models
por: Sciannameo, Veronica, et al.
Publicado: (2023)

A Machine Learning Approach for Investigating Delirium as a Multifactorial Syndrome
por: Ocagli, Honoria, et al.
Publicado: (2021)

Profiling Patients by Intensity of Nursing Care: An Operative Approach Using Machine Learning
por: Ocagli, Honoria, et al.
Publicado: (2020)

Machine Learning Algorithms for Prediction of Survival by Stress Echocardiography in Chronic Coronary Syndromes
por: Cortigiani, Lauro, et al.
Publicado: (2022)

Italian Version of the Cornell Assessment of Pediatric Delirium: Evaluation of the Scale Reliability and Ability to Detect Delirium Compared to Pediatric Intensive Care Unit Physicians Clinical Evaluation
por: Fazio, Paola Claudia, et al.
Publicado: (2022)

The Role of Genetic Factors in Characterizing Extra-Intestinal Manifestations in Crohn’s Disease Patients: Are Bayesian Machine Learning Methods Improving Outcome Predictions?
por: Bottigliengo, Daniele, et al.
Publicado: (2019)

Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients
por: Lorenzoni, Giulia, et al.
Publicado: (2019)

Positioning of Vascular Access in Pediatric Patients: An Observational Study Focusing on Adherence to Current Guidelines
por: Moreal, Chiara, et al.
Publicado: (2021)

Evaluating Effectiveness of Outpatient Monitoring in Type 2 Diabetes: The One-Year Experience in an Italian Group of Primary Care
por: Lazzarini, Francesca, et al.
Publicado: (2021)

Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food
por: Lorenzoni, Giulia, et al.
Publicado: (2019)

Prior Elicitation for Use in Clinical Trial Design and Analysis: A Literature Review
por: Azzolina, Danila, et al.
Publicado: (2021)

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach
por: Azzolina, Danila, et al.
Publicado: (2023)

Delirium in the PICU
por: Mehta, Tejas
Publicado: (2019)

Infections in the PICU
por: Dorofaeff, Tavey, et al.
Publicado: (2012)

How Large Was the Mortality Increase Directly and Indirectly Caused by the COVID-19 Epidemic? An Analysis on All-Causes Mortality Data in Italy
por: Magnani, Corrado, et al.
Publicado: (2020)

Is a more aggressive COVID-19 case detection approach mitigating the burden on ICUs? Some reflections from Italy
por: Lorenzoni, Giulia, et al.
Publicado: (2020)

Nutrition Monitoring in the PICU
por: Briassoulis, George
Publicado: (2014)

Hematologic Emergencies in the PICU
por: Kneyber, Martin C. J.
Publicado: (2014)

Out of the PICU and Beyond!()
por: Filho, Helio Queiroz, et al.
Publicado: (2023)

Learning the UNIX operating system
por: Todino, Grace
Publicado: (1993)

Engaging Pediatric Intensive Care Unit (PICU) clinical staff to lead practice improvement: the PICU Participatory Action Research Project (PICU-PAR)
por: Collet, Jean-Paul, et al.
Publicado: (2014)

Temporal and regional trends of choking injuries in children in Italy, 2001–2013
por: Lorenzoni, Giulia, et al.
Publicado: (2018)

Regional Differences in Mortality Rates During the COVID-19 Epidemic in Italy
por: Azzolina, Danila, et al.
Publicado: (2020)

Residual root fate after aortic surgery in bicuspid aortic valve with right‐to‐left fusion: A comparative risk analysis
por: Pradegan, Nicola, et al.
Publicado: (2021)

Handling Poor Accrual in Pediatric Trials: A Simulation Study Using a Bayesian Approach
por: Azzolina, Danila, et al.
Publicado: (2021)

A Bayesian Sample Size Estimation Procedure Based on a B-Splines Semiparametric Elicitation Method
por: Azzolina, Danila, et al.
Publicado: (2022)

PICU Follow-Up: The Impact of Missed School in a Cohort of Children Following PICU Admission
por: Kastner, Kathleen, et al.
Publicado: (2019)

Inflammation and psychopathology in children following PICU admission: an exploratory study
por: Caspani, Giorgia, et al.
Publicado: (2018)

Preoperative non-palpable breast lesion localization, innovative techniques and clinical outcomes in surgical practice: A systematic review and meta-analysis
por: Garzotto, Francesco, et al.
Publicado: (2021)

Improving Healthy Aging by Monitoring Patients’ Lifestyle through a Wearable Device: Results of a Feasibility Study
por: Fioranzato, Maria, et al.
Publicado: (2021)

Anchoring Vignettes in EQ-5D-5L Questionnaire: Validation of a New Instrument
por: Azzolina, Danila, et al.
Publicado: (2017)

A first estimation of the impact of public health actions against COVID-19 in Veneto (Italy)
por: Gregori, Dario, et al.
Publicado: (2020)

Thrombotic Events after COVID-19 Vaccination in the Over-50s: Results from a Population-Based Study in Italy
por: Baldi, Ileana, et al.
Publicado: (2021)

Adjustment for Baseline Covariates to Increase Efficiency in RCTs with Binary Endpoint: A Comparison of Bayesian and Frequentist Approaches
por: Berchialla, Paola, et al.
Publicado: (2021)

Usability and Accuracy of a Smartwatch for the Assessment of Physical Activity in the Elderly Population: Observational Study
por: Martinato, Matteo, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_ijvpnsim6nk58hf6c4ldaslij5