AIMC Topic: Respiration, Artificial

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Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study.

Journal of medical Internet research Feb 22, 2021
BACKGROUND: For the clinical care of patients with well-established diseases, randomized trials, literature, and research are supplemented with clinical judgment to understand disease prognosis and inform treatment choices. In the void created by a l...
Predictive Value of Tests Area Under Curve Pneumonia, Viral Retrospective Studies Female SARS-CoV-2 Hospitalization Aged Male Middle Aged Respiration, Artificial Comorbidity Cohort Studies ROC Curve Treatment Outcome Humans Machine Learning Pandemics COVID-19 Prognosis
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Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Scientific reports Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
ROC Curve Emergency Service, Hospital United Kingdom London Pandemics Risk Assessment Respiration, Artificial COVID-19 Disease Progression Retrospective Studies Hospitals Female Hospital Mortality SARS-CoV-2 Humans Risk Factors Hospitalization Machine Learning Aged Aged, 80 and over Adult Male Middle Aged
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A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation.

Journal of medical Internet research Feb 10, 2021
BACKGROUND: Predicting early respiratory failure due to COVID-19 can help triage patients to higher levels of care, allocate scarce resources, and reduce morbidity and mortality by appropriately monitoring and treating the patients at greatest risk f...
Retrospective Studies Female SARS-CoV-2 Hospitalization Aged Male Humans Machine Learning COVID-19 Middle Aged Emergency Service, Hospital Respiration, Artificial Respiratory Insufficiency Hospitals Patient Admission ROC Curve Intubation, Intratracheal Logistic Models Early Warning Score Triage Clinical Decision Rules
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A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil.

Scientific reports Feb 8, 2021
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective allocation of healthcare resources. An accurate prognostic assessment is necessary to improve survival of patients, especially in developing countrie...
C-Reactive Protein Lymphocyte Count Respiration, Artificial Length of Stay Cohort Studies Reverse Transcriptase Polymerase Chain Reaction Computational Biology COVID-19 Algorithms Prognosis Intensive Care Units Female SARS-CoV-2 Aged Humans Aged, 80 and over Machine Learning Adult Male Middle Aged Brazil
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.

Scientific reports Feb 5, 2021
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers and prognostic m...
Humans Machine Learning COVID-19 Prospective Studies Aged Aged, 80 and over Male Middle Aged Respiration, Artificial Comorbidity Computer Simulation Prognosis Intensive Care Units Female Risk Factors Hospitalization ROC Curve Sex Factors Hypertension Body Mass Index Age Factors Critical Care
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Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.

Scientific reports Jan 13, 2021
To compare the performance of artificial intelligence (AI) and Radiographic Assessment of Lung Edema (RALE) scores from frontal chest radiographs (CXRs) for predicting patient outcomes and the need for mechanical ventilation in COVID-19 pneumonia. Ou...
Humans Artificial Intelligence COVID-19 Prognosis Tomography, X-Ray Computed Female Aged Lung Cohort Studies Image Processing, Computer-Assisted Aged, 80 and over Organ Size Young Adult Adult Male Middle Aged Respiration, Artificial
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Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation.

Chest Dec 17, 2020
BACKGROUND: Objective and early identification of hospitalized patients, and particularly those with novel coronavirus disease 2019 (COVID-19), who may require mechanical ventilation (MV) may aid in delivering timely treatment.
Critical Care Health Services Needs and Demand Intubation, Intratracheal Male Humans Middle Aged COVID-19 Respiration, Artificial Prospective Studies Deep Learning Female ROC Curve Hospitalization Predictive Value of Tests Aged
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Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach.

BMC medical informatics and decision making Dec 14, 2020
BACKGROUND: The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI).
Forecasting Humans Cohort Studies Machine Learning Prognosis Hospital Mortality Retrospective Studies Treatment Outcome Brain Injuries, Traumatic Adult Models, Statistical Middle Aged Injury Severity Score Respiration, Artificial
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Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study.

Respiratory research Dec 10, 2020
BACKGROUND: Although protective mechanical ventilation (MV) has been used in a variety of applications, lung injury may occur in both patients with and without acute respiratory distress syndrome (ARDS). The purpose of this study is to use machine le...
Humans Lung Machine Learning Aged Decision Support Techniques Treatment Outcome Adult Health Status Phenotype Male Predictive Value of Tests Databases, Factual Critical Illness Middle Aged Ventilator-Induced Lung Injury Retrospective Studies Intensive Care Units Risk Assessment Female Respiration, Artificial Reproducibility of Results Risk Factors
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Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19.

British journal of anaesthesia Dec 4, 2020
BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) requiring mechanical ventilation have high mortality and resource utilisation. The ability to predict which patients may require mechanical ventilation allows increased acuity of care and ...
Female Aged Humans Male Middle Aged Machine Learning Respiration, Artificial COVID-19 Predictive Value of Tests Retrospective Studies Clinical Decision-Making
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