Filters








2,004 Hits in 19.5 sec

Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation

Behrooz Mamandipoor, Fernando Frutos-Vivar, Oscar Peñuelas, Richard Rezar, Konstantinos Raymondos, Alfonso Muriel, Bin Du, Arnaud W. Thille, Fernando Ríos, Marco González, Lorenzo del-Sorbo, Maria del Carmen Marín (+20 others)
2021 BMC Medical Informatics and Decision Making  
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

Li Yan, Hai-Tao Zhang, Jorge Goncalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao (+18 others)
2020 Nature Machine Intelligence  
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

Vadim Demichev, Pinkus Tober-Lau, Tatiana Nazarenko, Oliver Lemke, Simran Kaur Aulakh, Harry J. Whitwell, Annika Röhl, Anja Freiwald, Mirja Mittermaier, Lukasz Szyrwiel, Daniela Ludwig, Clara Correia-Melo (+59 others)
2022 PLOS Digital Health  
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

Bingsheng Huang, Dong Liang, Rushi Zou, Xiaxia Yu, Guo Dan, Haofan Huang, Heng Liu, Yong Liu
2021 Annals of Translational Medicine  
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

Man Ting Kwong, Glen Wright Colopy, Anika M. Weber, Ari Ercole, Jeroen H. M. Bergmann
2018 Bio-Design and Manufacturing  
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

Aya Awad, Mohamed Bader–El–Den, James McNicholas
2017 Health Services Management Research  
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

Prathamesh Parchure, Himanshu Joshi, Kavita Dharmarajan, Robert Freeman, David L Reich, Madhu Mazumdar, Prem Timsina, Arash Kia
2020 BMJ Supportive & Palliative Care  
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

Abdulrahman A. Alrajhi, Osama A. Alswailem, Ghassan Wali, Khalid Alnafee, Sarah AlGhamdi, Jhan Alarifi, Sarab AlMuhaideb, Hisham ElMoaqet, Ahmad AbuSalah
2022 International Journal of Environmental Research and Public Health  
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?

L Fuchs, D Talmor
2014 Critical Care  
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

Rob Mac Sweeney, Kiran Reddy, Jane C Davies, Mike Parker, Barry Kelly, J Stuart Elborn, John Conlon, Rejina M Verghis, Carolyn S Calfee, Michael A Matthay, Eric W F W Alton, Daniel F McAuley
2021 Thorax  
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

Antonio Artigas, Jean Carlet, José Garnacho, Michael Niederman, Antoni Torres
2019 Medical Sciences  
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

S Kazune, A Grabovskis, E Strīke, I Vanags
2014 Critical Care  
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

A Oei, M Kok, A Karakus, H Endeman
2014 Critical Care  
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

S. E. Rees, S. Larraza, N. Dey, S. Spadaro, J. B. Brohus, R. W. Winding, C. A. Volta, D. S. Karbing
2016 Journal of clinical monitoring and computing  
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

DV Elioutine, DV Marshalov
2000 Critical Care  
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
« Previous Showing results 1 — 15 out of 2,004 results