AIMC Topic: Bayes Theorem

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Bayesian-knowledge driven ontologies: A framework for fusion of semantic knowledge under uncertainty and incompleteness.

PloS one Mar 27, 2024
The modeling of uncertain information is an open problem in ontology research and is a theoretical obstacle to creating a truly semantic web. Currently, ontologies often do not model uncertainty, so stochastic subject matter must either be normalized...
Uncertainty Bayes Theorem Semantics Knowledge Bases Biological Ontologies Logic
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Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset.

BMC medical informatics and decision making Mar 25, 2024
BACKGROUND: Under-five mortality remains a significant public health issue in developing countries. This study aimed to assess the effectiveness of various machine learning algorithms in predicting under-five mortality in Nigeria and identify the mos...
Humans Algorithms Pregnancy Health Surveys Machine Learning Female Bayes Theorem Child Demography
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A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm.

Scientific reports Mar 25, 2024
We constructed an early prediction model for postoperative pulmonary complications after thoracoscopic surgery using machine learning and deep learning algorithms. The artificial intelligence prediction models were built in Python, primarily using ar...
Neural Networks, Computer Artificial Intelligence Algorithms Postoperative Complications Blood Glucose Bayes Theorem Humans
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Enhancing Patient Safety in Prehospital Environment: Analyzing Patient Perspectives on Non-Transport Decisions With Natural Language Processing and Machine Learning.

Journal of patient safety Mar 23, 2024
OBJECTIVE: This research explored the experiences and perspectives of patients declining hospital transportation after receiving prehospital emergency care using advanced computational techniques.
Young Adult Adult Male Patient Safety Female Bayes Theorem Patient Satisfaction Qatar Middle Aged Emergency Medical Services Natural Language Processing Humans Machine Learning Transportation of Patients
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Optimization of computational intelligence approach for the prediction of glutinous rice dehydration.

Journal of the science of food and agriculture Mar 22, 2024
BACKGROUND: Five computational intelligence approaches, namely Gaussian process regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees (EoT) and support vector machine (SVM), were used to describe the evolution of mo...
Neural Networks, Computer Artificial Intelligence Bayes Theorem Oryza Dehydration Water Support Vector Machine Decision Trees
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Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction.

Journal of imaging informatics in medicine Mar 21, 2024
Deep learning models have demonstrated great potential in medical imaging but are limited by the expensive, large volume of annotations required. To address this, we compared different active learning strategies by training models on subsets of the m...
Magnetic Resonance Imaging Bayes Theorem Uncertainty Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Brain
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Distribution-free Bayesian regularized learning framework for semi-supervised learning.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2024
In machine learning it is often necessary to assume or know the distribution of the data, however it is difficult to do so in practical applications. Aiming to this problem, this work, we propose a novel distribution-free Bayesian regularized learnin...
Machine Learning Supervised Machine Learning Algorithms Reproducibility of Results Bayes Theorem
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A machine learning approach to predict daptomycin exposure from two concentrations based on Monte Carlo simulations.

Antimicrobial agents and chemotherapy Mar 19, 2024
Daptomycin is a concentration-dependent lipopeptide antibiotic for which exposure/effect relationships have been shown. Machine learning (ML) algorithms, developed to predict the individual exposure to drugs, have shown very good performances in comp...
Daptomycin Bayes Theorem Monte Carlo Method Female Male Machine Learning Aged Middle Aged Algorithms Adult Humans Area Under Curve Anti-Bacterial Agents
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Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed.

Sensors (Basel, Switzerland) Mar 15, 2024
This work aims to compare the performance of Machine Learning (ML) and Deep Learning (DL) algorithms in detecting users' heartbeats on a smart bed. Targeting non-intrusive, continuous heart monitoring during sleep time, the smart bed is equipped with...
Support Vector Machine Bayes Theorem Humans Heart Rate Machine Learning Artificial Intelligence Algorithms
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Deep learning in public health: Comparative predictive models for COVID-19 case forecasting.

PloS one Mar 14, 2024
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates (UAE) and Malaysia, emphasizing the importance of developing accurate and reliable forecasting mechanisms to guide public health responses and policies. In this study...
Deep Learning Humans Bayes Theorem Pandemics Retrospective Studies COVID-19 Public Health Forecasting
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