AIMC Topic: Oxygen

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Surrogate Modelling for Oxygen Uptake Prediction Using LSTM Neural Network.

Sensors (Basel, Switzerland) Feb 16, 2023
Oxygen uptake (V˙O2) is an important metric in any exercise test including walking and running. It can be measured using portable spirometers or metabolic analyzers. Those devices are, however, not suitable for constant use by consumers due to their ...
Neural Networks, Computer Heart Rate Linear Models Oxygen Exercise Test
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Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study.

Journal of medical Internet research Feb 16, 2023
BACKGROUND: An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19.
Respiratory Distress Syndrome Radiography Deep Learning Humans Longitudinal Studies Artificial Intelligence COVID-19 Prognosis Oxygen Retrospective Studies
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The potential of novel hybrid SBO-based long short-term memory network for prediction of dissolved oxygen concentration in successive points of the Savannah River, USA.

Environmental science and pollution research international Feb 3, 2023
The accurate estimation of dissolved oxygen (DO) as an important water quality indicator can provide a basis for ensuring the preservation of the riverine ecosystem and designing proper water quality development plans. Therefore, this study aimed to ...
Algorithms Ecosystem Oxygen Neural Networks, Computer
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ognitive utcomes in the ragmatic nvestigation of optimaxygen argets (CO-PILOT) trial: protocol and statistical analysis plan.

BMJ open Nov 1, 2022
INTRODUCTION: Long-term cognitive impairment is one of the most common complications of critical illness among survivors who receive mechanical ventilation. Recommended oxygen targets during mechanical ventilation vary among international guidelines....
Randomized Controlled Trials as Topic Quality of Life Oxygen Cognition Humans Critical Illness
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Prediction of dissolved oxygen concentration in aquaculture based on attention mechanism and combined neural network.

Mathematical biosciences and engineering : MBE Oct 21, 2022
As an essential water quality parameter in aquaculture ponds, dissolved oxygen (DO) affects the growth and development of aquatic animals and their feeding and absorption. However, DO is easily influenced by external factors. It is not easy to make s...
Cities Aquaculture Oxygen Neural Networks, Computer China
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Machine Learning for Predicting Chemical Potentials of Multifunctional Organic Compounds in Atmospherically Relevant Solutions.

The journal of physical chemistry letters Oct 19, 2022
We have trained the Extreme Minimum Learning Machine (EMLM) machine learning model to predict chemical potentials of individual conformers of multifunctional organic compounds containing carbon, hydrogen, and oxygen. The model is able to predict chem...
Hydrogen Thermodynamics Carbon Oxygen Machine Learning Organic Chemicals
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Energy Expenditure Estimation in Children, Adolescents and Adults by Using a Respiratory Magnetometer Plethysmography System and a Deep Learning Model.

Nutrients Oct 8, 2022
PURPOSE: Energy expenditure is a key parameter in quantifying physical activity. Traditional methods are limited because they are expensive and cumbersome. Additional portable and cheaper devices are developed to estimate energy expenditure to overco...
Adolescent Child Exercise Deep Learning Energy Metabolism Plethysmography Oxygen Oxygen Consumption Humans Female Adult Male
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Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model.

Big data Sep 13, 2022
Deep learning models deliver a fast diagnosis during triage prescreening for COVID-19 patients, reducing waiting time for hospital admission during health emergency scenarios. The Ministry of health and family welfare government of India provides gui...
X-Rays Triage Oxygen Deep Learning India Humans COVID-19
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Multi-input multi-output temporal convolutional network for predicting the long-term water quality of ocean ranches.

Environmental science and pollution research international Sep 1, 2022
The prediction of water quality parameters is of great significance to the control of marine environments and provides a scientific decision-making basis for maintaining the stability of water environments and ensuring the normal survival and growth ...
Neural Networks, Computer Forecasting Oxygen Water Quality Oceans and Seas
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Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model.

BMC pulmonary medicine Aug 8, 2022
BACKGROUND: Noninvasive ventilation (NIV) has been widely used in critically ill patients after extubation. However, NIV failure is associated with poor outcomes. This study aimed to determine early predictors of NIV failure and to construct an accur...
Respiration, Artificial Oxygen Humans Noninvasive Ventilation Machine Learning Respiratory Insufficiency Intensive Care Units Airway Extubation Reproducibility of Results
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