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Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation
2021
BMC Medical Informatics and Decision Making
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Initially we select typical mechanical ventilation parameters and evaluate the machine learning model on both, the overall cohort and a subgroup of patients admitted with respiratory disorders. ...
Background Mechanical Ventilation (MV) is a complex and central treatment process in the care of critically ill patients. ...
Acknowledgements We acknowledge the support of the VENTILA study group. ...
doi:10.1186/s12911-021-01506-w
pmid:33962603
fatcat:4vb4nydazzfl7dedvrulk57izy
An interpretable mortality prediction model for COVID-19 patients
2020
Nature Machine Intelligence
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A mathematical modelling approach based on state-of-the-art interpretable machine learning algorithms was devised to identify the most discriminative biomarkers of patient mortality. ...
We have developed an XGBoost machine learning-based model that can predict the mortality rates of patients more than 10 days in advance with more than 90% accuracy, enabling detection, early intervention ...
doi:10.1038/s42256-020-0180-7
fatcat:z6qy7qsvezgfze5wz4ifnrrmzi
A proteomic survival predictor for COVID-19 patients in intensive care
2022
PLOS Digital Health
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the survival of severely ill COVID-19 patients. ...
Instead, the quantification of 321 plasma protein groups at 349 timepoints in 50 critically ill patients receiving invasive mechanical ventilation revealed 14 proteins that showed trajectories different ...
Using a machine learning model which combines the measurements of multiple proteins, we were able to accurately predict survival in critically ill patients with COVID-19 from single blood samples, weeks ...
doi:10.1371/journal.pdig.0000007
fatcat:dlh43weehzdermntft7vf5pwa4
Mortality prediction for patients with acute respiratory distress syndrome based on machine learning: a population-based study
2021
Annals of Translational Medicine
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This study aimed to develop and validate a mortality prediction method for patients with ARDS based on machine learning using the Medical Information Mart for Intensive Care (MIMIC-III) and Telehealth ...
In the multi-source validation (the combined dataset of 2,235 patients in MIMIC-III and 331 patients in eICU-CRD), the RF model achieved an AUROC of 0.905 and 0.736 for predicting in-hospital mortality ...
Low pH and high lactate levels are characteristic of metabolic acidosis, which is known to be predictive of mortality in extreme acidosis or critically ill patients (37, 41, 42) . ...
doi:10.21037/atm-20-6624
pmid:34268407
pmcid:PMC8246239
fatcat:dyyxsu67azdernvlh4rj74cyca
The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review
2018
Bio-Design and Manufacturing
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Artificial intelligence or machine learning (ML) methods are promising opportunities to positively influence patient outcomes. ...
Prolonged mechanical ventilation (MV) leads to a range of medical complications that increases length of stay and costs as well as contributes to morbidity and even mortality and long-term quality of life ...
financially supported by the EPSRC Impact Acceleration Account Award EP/R511742/1 and the National Institute for Health Research, BRC3 Partnerships for Health, Wealth and Innovation -Oxford Biomedical Research Centre ...
doi:10.1007/s42242-018-0030-1
fatcat:sjwifmwmuradznmzot6ffg7d7a
Patient length of stay and mortality prediction: A survey
2017
Health Services Management Research
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It also focuses on the methods of analysing length of stay and mortality prediction. ...
Research has focused on prediction of measurable outcomes, including risk of complications, mortality and length of hospital stay. ...
to predict the risk of mortality or adverse events for patients with critical illnesses or injuries admitted to ICU. ...
doi:10.1177/0951484817696212
pmid:28539083
fatcat:iplxgixvkvgvloqxpf6w7jel2u
Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19
2020
BMJ Supportive & Palliative Care
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To develop and validate a model for prediction of near-term in-hospital mortality among patients with COVID-19 by application of a machine learning (ML) algorithm on time-series inpatient data from electronic ...
Our ML-based approach can be used to analyse electronic health record data and reliably predict near-term mortality prediction. ...
limited resources can formulate appropriate goals of care based on patients' varying risk of deterioration. ...
doi:10.1136/bmjspcare-2020-002602
pmid:32963059
pmcid:PMC8049537
fatcat:hilukjy5gre3vjg7eowv2w4eai
Data-Driven Prediction for COVID-19 Severity in Hospitalized Patients
2022
International Journal of Environmental Research and Public Health
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Unlike many previous studies for a similar population in the region, this study evaluated 4 machine learning models using a large training data set of 1386 patients collected between March 2020 and April ...
The prospective validation conducted by clinical experts (n=185 patients, April–May 2021) showed a promising overall prediction performance with a recall of 78.4–90.0% and a precision of 75.0–97.8% for ...
critical illness and death. ...
doi:10.3390/ijerph19052958
pmid:35270653
pmcid:PMC8910504
fatcat:w7abllhimrbptogu6bo4gpoio4
Outcomes of ventilated surgical and medical ICU patients: do patients die from ARDS or with ARDS?
2014
Critical Care
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We assessed all aspects of prescriptions that make them legal and valid, in accordance with national guidance [3]. ...
The majority of these mistakes are avoidable [2]. Methods We audited the daily infusion charts of all patients in three separate spot checks, over 1 week. ...
Conclusion PDF may be a useful blood purifi cation therapy for ALF, but PDF should be performed below a MELD score of 30. References Acknowledgement Supported by EC 81/00469. ...
doi:10.1186/cc13219
pmcid:PMC4068314
fatcat:v46q3smhkzb3phigbnkuoo4kiq
Transepithelial nasal potential difference in patients with, and at risk of acute respiratory distress syndrome
2021
Thorax
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Increased NPD predicts the development of ARDS in at-risk subjects but does not predict mortality. ...
NPD was measured in 15 healthy controls and in 88 patients: 40 mechanically ventilated patients defined as 'at-risk' for ARDS, 61 mechanically ventilated patients with ARDS (13 who were previously included ...
Measurements were obtained in the following subjects (Table 1) : 1) critically ill mechanically ventilated patients at-risk for the development of ARDS ("at-risk"); 2) critically ill mechanically ventilated ...
doi:10.1136/thoraxjnl-2020-215587
pmid:33888572
fatcat:b5v2d6e55zbhznvbvt23rwblxq
24th International Symposium on Infections in the Critically Ill Patient
2019
Medical Sciences
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This 24th International Symposium on Infections in the Critically Ill Patient aims to review current concepts, technology and present advances in infections in critically ill patient [...] ...
Impact of hyperoxemia on mortality in critically ill patients with ventilator-associated pneumonia. Ann. Transl. Med. 2018, 6, 417. ...
Its incidence ranges 1.4-19% of critically ill patients receiving invasive mechanical ventilation. ...
doi:10.3390/medsci7020023
pmid:30736368
pmcid:PMC6409730
fatcat:pg35yeuvxvepjmzzz65q54etfq
Aortic stiffness in patients with early sepsis
2014
Critical Care
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We assessed all aspects of prescriptions that make them legal and valid, in accordance with national guidance [3]. ...
The majority of these mistakes are avoidable [2]. Methods We audited the daily infusion charts of all patients in three separate spot checks, over 1 week. ...
Conclusion PDF may be a useful blood purifi cation therapy for ALF, but PDF should be performed below a MELD score of 30. References Acknowledgement Supported by EC 81/00469. ...
doi:10.1186/cc13326
pmcid:PMC4068837
fatcat:d2babdaeg5fi7h26k2glojkzgy
Tissue oxygenation in patients with severe sepsis
2014
Critical Care
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We assessed all aspects of prescriptions that make them legal and valid, in accordance with national guidance [3]. ...
The majority of these mistakes are avoidable [2]. Methods We audited the daily infusion charts of all patients in three separate spot checks, over 1 week. ...
Conclusion PDF may be a useful blood purifi cation therapy for ALF, but PDF should be performed below a MELD score of 30. References Acknowledgement Supported by EC 81/00469. ...
doi:10.1186/cc13430
pmcid:PMC4068230
fatcat:76ki2yscqfe45mbsv5l4rwko7e
Typical patterns of expiratory flow and carbon dioxide in mechanically ventilated patients with spontaneous breathing
2016
Journal of clinical monitoring and computing
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Typical patterns of expiratory flow and carbon dioxide in mechanically ventilated patients with spontaneous breathing Rees, Stephen Edward; Larraza Rico, Sebastián; Dey, N.; Spadaro, S.; Brohus, J. ...
The combination of malnutrition and heavy caloric deficit were relevant nutritional QI associated with ICU mortality regardless of sex, age and Apache II. ...
Conclusions: In inhalational opium addicted patients admitted to ICU enable of starting oral medications, pain is better controlled with Opium Tincture in comparison to Methadone. ...
doi:10.1007/s10877-016-9903-z
pmid:27344663
fatcat:znxs3iq6vnawdn6se6h7fborja
Using fraxiparin in patients with gestosis
2000
Critical Care
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Conclusion: The incidence of PMI among patients undergoing noncardiac surgery is low and its mortality is negligible. ...
Methods: Eighteen young pigs were operated on with standardized cardiopulmonary bypass (CPB). ...
of critically ill patients. ...
doi:10.1186/cc754
pmcid:PMC3332958
fatcat:mjnrbxt4ijaizhhxtytwhkuihe
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