AIMC Topic: Bayes Theorem

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Recurrent neural network modeling of multivariate time series and its application in temperature forecasting.

PloS one May 19, 2023
Temperature forecasting plays an important role in human production and operational activities. Traditional temperature forecasting mainly relies on numerical forecasting models to operate, which takes a long time and has higher requirements for the ...
China Forecasting Time Factors Temperature Humans Neural Networks, Computer Bayes Theorem
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Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography.

Computer methods and programs in biomedicine May 16, 2023
BACKGROUND: High-flow nasal cannula (HNFC) is able to provide ventilation support for patients with hypoxic respiratory failure. Early prediction of HFNC outcome is warranted, since failure of HFNC might delay intubation and increase mortality rate. ...
Humans Machine Learning Tomography Cannula Bayes Theorem Electric Impedance
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Machine learning-based approach for efficient prediction of toxicity of chemical gases using feature selection.

Journal of hazardous materials May 10, 2023
Toxic gases can be fatal as they damage many living tissues, especially the nervous and respiratory systems. They can cause permanent damage for many years by harming environmental tissue and living organisms. They can also cause mass deaths when use...
Bayes Theorem Gases Machine Learning United States Algorithms Amides
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Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology.

Scientific reports May 6, 2023
Uncertainty estimation is crucial for understanding the reliability of deep learning (DL) predictions, and critical for deploying DL in the clinic. Differences between training and production datasets can lead to incorrect predictions with underestim...
Uncertainty Bayes Theorem Medical Oncology Reproducibility of Results Deep Learning
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EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset.

IEEE transactions on pattern analysis and machine intelligence May 5, 2023
Multi-modal datasets in artificial intelligence (AI) often capture a third-person perspective, but our embodied human intelligence evolved with sensory input from the egocentric, first-person perspective. Towards embodied AI, we introduce the Egocent...
Humans Algorithms Communication Bayes Theorem Artificial Intelligence Machine Learning
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Predicting drug adverse effects using a new Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD).

Scientific reports Apr 28, 2023
Electrical data could be a new source of big-data for training artificial intelligence (AI) for drug discovery. A Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) was built using a standardized methodology to test drug effects on electrica...
Drug-Related Side Effects and Adverse Reactions Databases, Pharmaceutical Algorithms Bayes Theorem Artificial Intelligence Machine Learning Humans
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Body composition predicts hypertension using machine learning methods: a cohort study.

Scientific reports Apr 27, 2023
We used machine learning methods to investigate if body composition indices predict hypertension. Data from a cohort study was used, and 4663 records were included (2156 were male, 1099 with hypertension, with the age range of 35-70 years old). Body ...
Humans Bayes Theorem Middle Aged Electric Impedance Machine Learning Body Composition Cohort Studies Adult Female Male Aged
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Model certainty in cellular network-driven processes with missing data.

PLoS computational biology Apr 26, 2023
Mathematical models are often used to explore network-driven cellular processes from a systems perspective. However, a dearth of quantitative data suitable for model calibration leads to models with parameter unidentifiability and questionable predic...
Bayes Theorem Calibration Models, Theoretical Apoptosis Machine Learning
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Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.

BMC medical research methodology Apr 22, 2023
BACKGROUND: Trauma is one of the most critical public health issues worldwide, leading to death and disability and influencing all age groups. Therefore, there is great interest in models for predicting mortality in trauma patients admitted to the IC...
Hospital Mortality Bayes Theorem Humans Machine Learning Algorithms Retrospective Studies
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Utilization of Bioinorganic Nanodrugs and Nanomaterials for the Control of Infectious Diseases Using Deep Learning.

BioMed research international Apr 21, 2023
As one of the main causes of morbidity and mortality, viral infections have a major impact on the well-being and economics of every nation in the globe. The ability to predictably diagnose viral infections improves the provision of good healthcare as...
Deep Learning Nanoparticles Bayes Theorem Neural Networks, Computer Humans Communicable Diseases
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