AIMC Topic: Bayes Theorem

Clear Filters Showing 1021 to 1030 of 1826 articles

A new approach to medical diagnostic decision support.

Journal of biomedical informatics Mar 9, 2021
Data mining is a powerful tool to reduce costs and mitigate errors in the diagnostic analysis and repair of complex engineered system, but it has yet to be applied systematically to the most complex and socially expensive system - the human body. The...
Electronic Health Records Bayes Theorem Knowledge Bases Artificial Intelligence Software Humans
View on PubMed DOI

A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery.

International journal of environmental research and public health Mar 8, 2021
Assessment of risk before lung resection surgery can provide anesthesiologists with information about whether a patient can be weaned from the ventilator immediately after surgery. However, it is difficult for anesthesiologists to perform a complete ...
Bayes Theorem Ventilators, Mechanical Artificial Intelligence Humans Retrospective Studies Lung
View on PubMed DOI

Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases.

Computers in biology and medicine Mar 6, 2021
In the context of the recently emerging COVID-19 pandemic, we developed a deep learning model that can be used to predict the inhibitory activity of 3CLpro in severe acute respiratory syndrome coronavirus (SARS-CoV) for unknown compounds during the v...
Bayes Theorem Protease Inhibitors Severe acute respiratory syndrome-related coronavirus Peptide Hydrolases Deep Learning Antiviral Agents SARS-CoV-2 Molecular Docking Simulation Pandemics COVID-19 Humans
View on PubMed DOI

R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification.

Artificial intelligence in medicine Mar 6, 2021
Feature selection is one of the trustworthy processes of dimensionality reduction technique to select a subset of relevant and non-redundant features from large datasets. Ensemble feature selection (EFS) approach is a recent technique aiming at accum...
Support Vector Machine Cluster Analysis Algorithms Bayes Theorem
View on PubMed DOI

High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis.

Scientific reports Mar 3, 2021
Chronic HBV infection, the main cause of liver cirrhosis and hepatocellular carcinoma, has become a global health concern. Machine learning algorithms are particularly adept at analyzing medical phenomenon by capturing complex and nonlinear relations...
Data Analysis Forecasting Female Humans Machine Learning Hepatitis B, Chronic Serologic Tests Data Accuracy Bayes Theorem Biopsy ROC Curve Male Hepatitis B virus Liver Cirrhosis Middle Aged Aged Models, Statistical Genotype China Adult
View on PubMed DOI

Estimating evapotranspiration by coupling Bayesian model averaging methods with machine learning algorithms.

Environmental monitoring and assessment Mar 3, 2021
Evapotranspiration (ET) is one of the most important components of global hydrologic cycle and has significant impacts on energy exchange and climate change. Numerous models have been developed to estimate ET so far; however, great uncertainties in m...
Environmental Monitoring Support Vector Machine Bayes Theorem Machine Learning Algorithms
View on PubMed DOI

Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 2, 2021
Ataxic gait monitoring and assessment of neurological disorders belong to important multidisciplinary areas that are supported by digital signal processing methods and machine learning tools. This paper presents the possibility of using accelerometri...
Adult Artificial Intelligence Gait Analysis Deep Learning Bayes Theorem Humans Algorithms Neural Networks, Computer
View on PubMed DOI

A review on current advances in machine learning based diabetes prediction.

Primary care diabetes Feb 26, 2021
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged period in the body as it is not capable of using it properly. The severe complications associated with diabetes include diabetic ketoacidosis, nonketotic hype...
Bayes Theorem Data Mining Machine Learning Algorithms Humans Diabetes Mellitus
View on PubMed DOI

LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes.

Sensors (Basel, Switzerland) Feb 26, 2021
Human Activity Recognition (HAR) employing inertial motion data has gained considerable momentum in recent years, both in research and industrial applications. From the abstract perspective, this has been driven by an acceleration in the building of ...
Human Activities Machine Learning Humans Smartphone Neural Networks, Computer Bayes Theorem
View on PubMed DOI

The MindGomoku: An Online P300 BCI Game Based on Bayesian Deep Learning.

Sensors (Basel, Switzerland) Feb 25, 2021
In addition to helping develop products that aid the disabled, brain-computer interface (BCI) technology can also become a modality of entertainment for all people. However, most BCI games cannot be widely promoted due to the poor control performance...
Bayes Theorem Humans Electroencephalography Brain-Computer Interfaces Reproducibility of Results Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals