AIMC Topic: Bayes Theorem

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Developing an interpretation model for body fluid identification.

Forensic science international Apr 22, 2024
Criminal investigations, particularly sexual assaults, frequently require the identification of body fluid type in addition to body fluid donor to provide context. In most cases this can be achieved by conventional methods, however, in certain scenar...
Male Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction Models, Statistical Bayes Theorem RNA, Messenger Logistic Models Humans Machine Learning Female Body Fluids Discriminant Analysis Blood Chemical Analysis Semen Saliva Menstruation Cervix Mucus
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Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification.

Scientific reports Apr 20, 2024
RNA modifications are pivotal in the development of newly synthesized structures, showcasing a vast array of alterations across various RNA classes. Among these, 5-hydroxymethylcytosine (5HMC) stands out, playing a crucial role in gene regulation and...
5-Methylcytosine Support Vector Machine Bayes Theorem RNA Neural Networks, Computer Algorithms
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Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 19, 2024
A late post-traumatic seizure (LPTS), a consequence of traumatic brain injury (TBI), can potentially evolve into a lifelong condition known as post-traumatic epilepsy (PTE). Presently, the mechanism that triggers epileptogenesis in TBI patients remai...
Seizures Algorithms Magnetic Resonance Imaging Neuroimaging Biomarkers Brain Injuries, Traumatic Epilepsy, Post-Traumatic Female Adult Multimodal Imaging Humans Male Bayes Theorem Machine Learning Middle Aged
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DNA shape features improve prediction of CRISPR/Cas9 activity.

Methods (San Diego, Calif.) Apr 17, 2024
The CRISPR/Cas9 genome editing technology has transformed basic and translational research in biology and medicine. However, the advances are hindered by off-target effects and a paucity in the knowledge of the mechanism of the Cas9 protein. Machine ...
CRISPR-Cas Systems Gene Editing Nucleic Acid Conformation Humans Neural Networks, Computer DNA Bayes Theorem Machine Learning Epigenesis, Genetic
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Deep neural network uncertainty estimation for early oral cancer diagnosis.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology Apr 17, 2024
BACKGROUND: Early diagnosis in oral cancer is essential to reduce both morbidity and mortality. This study explores the use of uncertainty estimation in deep learning for early oral cancer diagnosis.
Humans Neural Networks, Computer Retrospective Studies Deep Learning Uncertainty Early Detection of Cancer Bayes Theorem Mouth Neoplasms
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Comparison of mandibular morphometric parameters in digital panoramic radiography in gender determination using machine learning.

Oral radiology Apr 16, 2024
OBJECTIVE: This study aimed to evaluate the usability of morphometric features obtained from mandibular panoramic radiographs in gender determination using machine learning algorithms.
Bayes Theorem Radiography, Panoramic Sex Determination by Skeleton Male Middle Aged Machine Learning Mandible Algorithms Female Humans Young Adult Reproducibility of Results Adult Aged
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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...
Humans Female Breast Neoplasms Bayes Theorem Alzheimer Disease Deep Learning Lung Neoplasms Genetic Association Studies
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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...
Young Adult Gait Adolescent Humans Middle Aged Female Bayes Theorem Machine Learning Adult Aged Accidental Falls Algorithms Male Aged, 80 and over
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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 Machine Learning Anaerobiosis Biofuels Calibration Bayes Theorem Sewage
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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...
Machine Learning Water Quality Rivers Water Microbiology Cyanobacteria Spain Environmental Monitoring Bayes Theorem
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