AIMC Topic: Bayes Theorem

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Posterior circulation ischemic stroke: radiomics-based machine learning approach to identify onset time from magnetic resonance imaging.

Neuroradiology Apr 9, 2024
PURPOSE: Posterior circulation ischemic stroke (PCIS) possesses unique features. However, previous studies have primarily or exclusively relied on anterior circulation stroke cases to build machine learning (ML) models for predicting onset time. To d...
Machine Learning Female Aged Humans Middle Aged Time Factors Ischemic Stroke Radiomics Male Diffusion Magnetic Resonance Imaging Bayes Theorem Image Interpretation, Computer-Assisted
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Predicting post-treatment symptom severity for adults receiving psychological therapy in routine care for generalised anxiety disorder: a machine learning approach.

Psychiatry research Apr 9, 2024
Approximately half of generalised anxiety disorder (GAD) patients do not recover from first-line treatments, and no validated prediction models exist to inform individuals or clinicians of potential treatment benefits. This study aimed to develop and...
Bayes Theorem Psychotherapy Adult Male Anxiety Disorders Severity of Illness Index Middle Aged Machine Learning Female Humans Young Adult
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Dynamic Bayesian network structure learning based on an improved bacterial foraging optimization algorithm.

Scientific reports Apr 9, 2024
With the rapid development of artificial intelligence and data science, Dynamic Bayesian Network (DBN), as an effective probabilistic graphical model, has been widely used in many engineering fields. And swarm intelligence algorithm is an optimizatio...
Bayes Theorem Genes, Bacterial Artificial Intelligence Algorithms Learning
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Game-theoretic optimization of landslide susceptibility mapping: a comparative study between Bayesian-optimized basic neural network and new generation neural network models.

Environmental science and pollution research international Apr 9, 2024
Landslide susceptibility mapping is essential for reducing the risk of landslides and ensuring the safety of people and infrastructure in landslide-prone areas. However, little research has been done on the development of well-optimized Elman neural ...
Landslides Machine Learning Bayes Theorem Neural Networks, Computer
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A novel machine learning model for breast cancer detection using mammogram images.

Medical & biological engineering & computing Apr 5, 2024
The most fatal disease affecting women worldwide now is breast cancer. Early detection of breast cancer enhances the likelihood of a full recovery and lowers mortality. Based on medical imaging, researchers from all around the world are developing br...
Bayes Theorem Machine Learning Mammography Algorithms Principal Component Analysis Breast Neoplasms Humans Image Processing, Computer-Assisted Neural Networks, Computer Female
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Advancing Breast Cancer Diagnosis through Breast Mass Images, Machine Learning, and Regression Models.

Sensors (Basel, Switzerland) Apr 5, 2024
Breast cancer results from a disruption of certain cells in breast tissue that undergo uncontrolled growth and cell division. These cells most often accumulate and form a lump called a tumor, which may be benign (non-cancerous) or malignant (cancerou...
Humans Artificial Intelligence Algorithms Neoplasms Machine Learning 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 Algorithms Intelligence Coronary Artery Disease Heart Diseases 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...
Neural Networks, Computer Bayes Theorem Algorithms 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.
Machine Learning Aged Humans Acute Kidney Injury Retrospective Studies Male Intensive Care Units Middle Aged Risk Assessment Bayes Theorem Continuous Renal Replacement Therapy Female ROC Curve Coronary Artery Bypass 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...
Machine Learning Algorithms Bayes Theorem Humans Neural Networks, Computer Artificial Intelligence
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