AIMC Topic: Bayes Theorem

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AttGRU-HMSI: enhancing heart disease diagnosis using hybrid deep learning approach.

Scientific reports Apr 3, 2024
Heart disease is a major global cause of mortality and a major public health problem for a large number of individuals. A major issue raised by regular clinical data analysis is the recognition of cardiovascular illnesses, including heart attacks and...
Humans Intelligence Coronary Artery Disease Heart Diseases Algorithms Deep Learning Bayes Theorem
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Transfer learning from rating prediction to Top-k recommendation.

PloS one Mar 28, 2024
Recommender system has made great strides in two major research fields, rating prediction and Top-k recommendation. In essence, rating prediction is a regression task, which aims to predict users scores on other items, while Top-k is a classification...
Algorithms Neural Networks, Computer Bayes Theorem Machine Learning
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Machine learning in risk prediction of continuous renal replacement therapy after coronary artery bypass grafting surgery in patients.

Clinical and experimental nephrology Mar 27, 2024
OBJECTIVES: This study aimed to develop machine learning models for risk prediction of continuous renal replacement therapy (CRRT) following coronary artery bypass grafting (CABG) surgery in intensive care unit (ICU) patients.
Bayes Theorem Retrospective Studies Coronary Artery Bypass Continuous Renal Replacement Therapy Aged Intensive Care Units Acute Kidney Injury Risk Assessment Humans Male Female ROC Curve Machine Learning Middle Aged Risk Factors
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Evaluations of artificial intelligence and machine learning algorithms in neurodiagnostics.

Journal of neurophysiology Mar 27, 2024
This article evaluates the ethical implications of utilizing artificial intelligence (AI) algorithms in neurological diagnostic examinations. Applications of AI technology have been utilized to aid in the determination of pharmacological dosages of g...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Bayes Theorem Humans
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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...
Knowledge Bases Biological Ontologies Bayes Theorem Semantics Logic Uncertainty
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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...
Health Surveys Algorithms Child Pregnancy Humans Female Bayes Theorem Demography Machine Learning
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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...
Humans Neural Networks, Computer Postoperative Complications Blood Glucose Artificial Intelligence Bayes Theorem Algorithms
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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.
Humans Machine Learning Adult Male Middle Aged Patient Safety Female Young Adult Transportation of Patients Bayes Theorem Patient Satisfaction Emergency Medical Services Qatar Natural Language Processing
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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 Oryza Dehydration Artificial Intelligence Water Decision Trees Support Vector Machine Bayes Theorem
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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...
Uncertainty Magnetic Resonance Imaging Bayes Theorem Humans Brain Brain Neoplasms Deep Learning Image Processing, Computer-Assisted
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