AIMC Topic: Bayes Theorem

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PheSeq, a Bayesian deep learning model to enhance and interpret the gene-disease association studies.

Genome medicine Apr 16, 2024
Despite the abundance of genotype-phenotype association studies, the resulting association outcomes often lack robustness and interpretations. To address these challenges, we introduce PheSeq, a Bayesian deep learning model that enhances and interpre...
Lung Neoplasms Genetic Association Studies Bayes Theorem Alzheimer Disease Female Breast Neoplasms Deep Learning Humans
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Fall prediction in a quiet standing balance test via machine learning: Is it possible?

PloS one Apr 16, 2024
The elderly population is growing rapidly in the world and falls are becoming a big problem for society. Currently, clinical assessments of gait and posture include functional evaluations, objective, and subjective scales. They are considered the gol...
Bayes Theorem Gait Accidental Falls Adolescent Aged, 80 and over Algorithms Adult Young Adult Male Female Humans Middle Aged Aged Machine Learning
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Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon.

Sensors (Basel, Switzerland) Apr 15, 2024
This study aims to enhance diagnostic capabilities for optimising the performance of the anaerobic sewage treatment lagoon at Melbourne Water's Western Treatment Plant (WTP) through a novel machine learning (ML)-based monitoring strategy. This strate...
Monte Carlo Method Neural Networks, Computer Sewage Machine Learning Biofuels Anaerobiosis Calibration Bayes Theorem
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Enhancing water quality prediction for fluctuating missing data scenarios: A dynamic Bayesian network-based processing system to monitor cyanobacteria proliferation.

The Science of the total environment Apr 10, 2024
Tackling the impact of missing data in water management is crucial to ensure the reliability of scientific research that informs decision-making processes in public health. The goal of this study is to ascertain the root causes associated with cyanob...
Spain Water Quality Machine Learning Rivers Cyanobacteria Water Microbiology Environmental Monitoring 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...
Diffusion Magnetic Resonance Imaging Male Female Middle Aged Ischemic Stroke Humans Time Factors Aged Bayes Theorem Machine Learning Radiomics 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 Middle Aged Anxiety Disorders Severity of Illness Index Machine Learning Female Young Adult Humans
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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...
Artificial Intelligence Algorithms Learning Bayes Theorem Genes, Bacterial
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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 ...
Machine Learning Bayes Theorem Landslides 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...
Neural Networks, Computer Mammography Machine Learning Female Humans Principal Component Analysis Algorithms Breast Neoplasms Bayes Theorem Image Processing, Computer-Assisted
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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 Neoplasms Bayes Theorem Machine Learning Algorithms
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