AIMC Topic: Bayes Theorem

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Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.

Journal of magnetic resonance imaging : JMRI Apr 20, 2023
BACKGROUND: Vessels encapsulating tumor cluster (VETC) is a critical prognostic factor and therapeutic predictor of hepatocellular carcinoma (HCC). However, noninvasive evaluation of VETC remains challenging.
Humans Retrospective Studies Reproducibility of Results Prognosis Bayes Theorem Carcinoma, Hepatocellular Deep Learning Liver Neoplasms Magnetic Resonance Imaging
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Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures.

Biometrics Apr 16, 2023
Many popular survival models rely on restrictive parametric, or semiparametric, assumptions that could provide erroneous predictions when the effects of covariates are complex. Modern advances in computational hardware have led to an increasing inter...
Models, Statistical Uncertainty Proportional Hazards Models Software Bayes Theorem Computer Simulation Humans Machine Learning
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Evaluation of Semiautomatic and Deep Learning-Based Fully Automatic Segmentation Methods on [F]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization.

Journal of digital imaging Apr 14, 2023
The objective is to assess the performance of seven semiautomatic and two fully automatic segmentation methods on [F]FDG PET/CT lymphoma images and evaluate their influence on tumor quantification. All lymphoma lesions identified in 65 whole-body [F]...
Fluorodeoxyglucose F18 Bayes Theorem Positron Emission Tomography Computed Tomography Humans Deep Learning Neoplasms Lymphoma
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Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm.

PloS one Apr 13, 2023
The benefits and opportunities offered by cloud computing are among the fastest-growing technologies in the computer industry. Additionally, it addresses the difficulties and issues that make more users more likely to accept and use the technology. T...
Random Forest Support Vector Machine Machine Learning Bayes Theorem Algorithms
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An expert-based system to predict population survival rate from health data.

Conservation biology : the journal of the Society for Conservation Biology Apr 10, 2023
Timely detection and understanding of causes for population decline are essential for effective wildlife management and conservation. Assessing trends in population size has been the standard approach, but we propose that monitoring population health...
Animals, Wild Inflammation Survival Rate Bayes Theorem Bottle-Nosed Dolphin Conservation of Natural Resources Expert Systems Humans Animals Cetacea
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Deep learning prediction of motor performance in stroke individuals using neuroimaging data.

Journal of biomedical informatics Apr 7, 2023
The degree of motor impairment and profile of recovery after stroke are difficult to predict for each individual. Measures obtained from clinical assessments, as well as neurophysiological and neuroimaging techniques have been used as potential bioma...
Humans Quality of Life Stroke Neuroimaging Diffusion Tensor Imaging Deep Learning Bayes Theorem
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Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests-How Does the Infotechnomics Compare to Other "Omics" in the Cosmetics Safety Assessment?

International journal of molecular sciences Apr 6, 2023
The aim of the current study was to develop an in silico model to predict the sensitizing potential of cosmetic ingredients based on their physicochemical characteristics and to compare the predictions with historical animal data and results from "om...
Haptens Consumer Product Safety Computer Simulation Animals Bayes Theorem Cosmetics In Vitro Techniques Artificial Intelligence
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IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting various features of protein str...
Solvents Proteins Bayes Theorem Neural Networks, Computer Deep Learning
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Authentication of beef cuts by multielement and machine learning approaches.

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) Mar 29, 2023
BACKGROUND: Brazil has consolidated a relevant position in the world market, being the largest exporter and second producer of beef. Genetics, feeding system, geographic origin and climate influence the multielement profile of beef. The feasibility o...
Random Forest Cattle Bayes Theorem Machine Learning Animals Brazil Algorithms
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The usefulness of artificial intelligence for safety assessment of different transport modes.

Accident; analysis and prevention Mar 28, 2023
Recent research in transport safety focuses on the processing of large amounts of available data by means of intelligent systems, in order to decrease the number of accidents for transportation users. Several Machine Learning (ML) and Artificial Inte...
Humans Bayes Theorem Neural Networks, Computer Accidents, Traffic Transportation Artificial Intelligence
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