AIMC Topic: Bayes Theorem

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Performance of machine learning algorithms for lung cancer prediction: a comparative approach.

Scientific reports Aug 9, 2024
Due to the excessive growth of PM 2.5 in aerosol, the cases of lung cancer are increasing rapidly and are most severe among other types as the highest mortality rate. In most of the cases, lung cancer is detected with least symptoms at its later stag...
Lung Neoplasms Bayes Theorem Humans Machine Learning Algorithms Female Male
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Artificial intelligence methods available for cancer research.

Frontiers of medicine Aug 8, 2024
Cancer is a heterogeneous and multifaceted disease with a significant global footprint. Despite substantial technological advancements for battling cancer, early diagnosis and selection of effective treatment remains a challenge. With the convenience...
Neoplasms Computational Biology Bayes Theorem Machine Learning Biomedical Research Neural Networks, Computer Artificial Intelligence Humans
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Machine-Learning Prediction of Curie Temperature from Chemical Compositions of Ferromagnetic Materials.

Journal of chemical information and modeling Aug 7, 2024
Room-temperature ferromagnets are high-value targets for discovery given the ease by which they could be embedded within magnetic devices. However, the multitude of potential interactions among magnetic ions and their surrounding environments renders...
Machine Learning Algorithms Bayes Theorem Magnets Temperature
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Signatures of Bayesian inference emerge from energy-efficient synapses.

eLife Aug 6, 2024
Biological synaptic transmission is unreliable, and this unreliability likely degrades neural circuit performance. While there are biophysical mechanisms that can increase reliability, for instance by increasing vesicle release probability, these mec...
Models, Neurological Bayes Theorem Neurons Neural Networks, Computer Animals Synaptic Transmission Energy Metabolism Synapses
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Integrating Deep Learning-Based Dose Distribution Prediction with Bayesian Networks for Decision Support in Radiotherapy for Upper Gastrointestinal Cancer.

Cancer research and treatment Aug 2, 2024
PURPOSE: Selecting the better techniques to harbor optimal motion management, either a stereotactic linear accelerator delivery using TrueBeam (TBX) or magnetic resonance-guided gated delivery using MRIdian (MRG), is time-consuming and costly. To add...
Middle Aged Deep Learning Liver Neoplasms Gastrointestinal Neoplasms Humans Aged, 80 and over Radiotherapy Planning, Computer-Assisted Pancreatic Neoplasms Male Female Radiotherapy Dosage Bayes Theorem Aged Retrospective Studies
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From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models.

Journal of computational biology : a journal of computational molecular cell biology Aug 2, 2024
To improve the forecasting accuracy of the spread of infectious diseases, a hybrid model was recently introduced where the commonly assumed constant disease transmission rate was actively estimated from enforced mitigating policy data by a machine le...
Humans Machine Learning Bayes Theorem SARS-CoV-2 COVID-19 Canada Forecasting United States
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Optimizing postprandial glucose prediction through integration of diet and exercise: Leveraging transfer learning with imbalanced patient data.

PloS one Aug 1, 2024
BACKGROUND: In recent years, numerous methods have been introduced to predict glucose levels using machine-learning techniques on patients' daily behavioral and continuous glucose data. Nevertheless, a definitive consensus remains elusive regarding m...
Adult Postprandial Period Pregnancy Diet Diabetes, Gestational Humans Exercise Female Machine Learning Blood Glucose Bayes Theorem
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A novel radial basis neural network for the Zika virus spreading model.

Computational biology and chemistry Jul 25, 2024
The motive of current investigations is to design a novel radial basis neural network stochastic structure to present the numerical representations of the Zika virus spreading model (ZVSM). The mathematical ZVSM is categorized into humans and vectors...
Humans Neural Networks, Computer Bayes Theorem Zika Virus Zika Virus Infection
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Trait-mediated speciation and human-driven extinctions in proboscideans revealed by unsupervised Bayesian neural networks.

Science advances Jul 24, 2024
Species life-history traits, paleoenvironment, and biotic interactions likely influence speciation and extinction rates, affecting species richness over time. Birth-death models inferring the impact of these factors typically assume monotonic relatio...
Genetic Speciation Fossils Extinction, Biological Bayes Theorem Biodiversity Humans Neural Networks, Computer Animals
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Reconciling shared versus context-specific information in a neural network model of latent causes.

Scientific reports Jul 22, 2024
It has been proposed that, when processing a stream of events, humans divide their experiences in terms of inferred latent causes (LCs) to support context-dependent learning. However, when shared structure is present across contexts, it is still uncl...
Humans Neural Networks, Computer Learning Bayes Theorem Algorithms
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