AIMC Topic: Bayes Theorem

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Fellow in a Box: Combining AI and Domain Knowledge with Bayesian Networks for Differential Diagnosis in Neuroimaging.

Radiology Apr 7, 2020
Diagnosis, Differential Bayes Theorem Neuroimaging Artificial Intelligence Brain Magnetic Resonance Imaging
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Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample.

BMC psychiatry Mar 30, 2020
BACKGROUND: This study aimed to determine conditional dependence relationships of variables that contribute to psychological vulnerability associated with suicide risk. A Bayesian network (BN) was developed and applied to establish conditional depend...
Mood Disorders Artificial Intelligence Female Young Adult Humans Suicidal Ideation Anxiety Bayes Theorem Adult Suicide, Attempted Male Adolescent Middle Aged
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Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis.

Scientific reports Mar 26, 2020
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M.tb), causes highest number of deaths globally for any bacterial disease necessitating novel diagnosis and treatment strategies. High-throughput sequencing methods genera...
Machine Learning Algorithms Molecular Docking Simulation Drug Resistance, Multiple, Bacterial Polymorphism, Single Nucleotide Genes, Bacterial Tuberculosis, Multidrug-Resistant Humans Bayes Theorem Genes, MDR Artificial Intelligence Molecular Dynamics Simulation Bacterial Proteins Mycobacterium tuberculosis Mutation
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The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise.

Neural computation Mar 18, 2020
Multilayer neural networks have led to remarkable performance on many kinds of benchmark tasks in text, speech, and image processing. Nonlinear parameter estimation in hierarchical models is known to be subject to overfitting and misspecification. On...
Neural Networks, Computer Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Bayes Theorem Humans
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Novel deep neural network based pattern field classification architectures.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2020
Field classification is a new extension of traditional classification frameworks that attempts to utilize consistent information from a group of samples (termed fields). By forgoing the independent identically distributed (i.i.d.) assumption, field c...
Algorithms Humans Deep Learning Neural Networks, Computer Pattern Recognition, Automated Bayes Theorem Machine Learning Biometric Identification Handwriting
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Variational approximation error in non-negative matrix factorization.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2020
Non-negative matrix factorization (NMF) is a knowledge discovery method that is used in many fields. Variational inference and Gibbs sampling methods for it are also well-known. However, the variational approximation error has not been clarified yet,...
Machine Learning Bayes Theorem Information Management
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Recommendation via Collaborative Autoregressive Flows.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2020
Although it is one of the most widely used methods in recommender systems, Collaborative Filtering (CF) still has difficulties in modeling non-linear user-item interactions. Complementary to this, recently developed deep generative model variants (e....
Normal Distribution Bayes Theorem Information Management Machine Learning Likelihood Functions
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Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning.

Scientific reports Mar 10, 2020
Assessing the viability of a blastosyst is still empirical and non-reproducible nowadays. We developed an algorithm based on artificial vision and machine learning (and other classifiers) that predicts pregnancy using the beta human chorionic gonadot...
Machine Learning Algorithms Pregnancy Humans Neural Networks, Computer Fertilization in Vitro Pregnancy Outcome Bayes Theorem Female Adult Embryo Transfer Oocytes Pregnancy Tests
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Climate-induced thermoregulatory responses in a non-linear thermal environment: investigating the inter-dependencies using a facile artificial neural network-based predictive strategy.

International journal of occupational safety and ergonomics : JOSE Mar 9, 2020
. Given the burgeoning impacts of climatic variability on human health, suitable computational paradigms are used to explore the subsequent ergonomic repercussions. The artificial neural network (ANN), in particular, exhibits near-accurate input-outp...
Bayes Theorem Sweating Humans Body Temperature Regulation Neural Networks, Computer Algorithms
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Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms.

Journal of healthcare engineering Mar 9, 2020
Chronic diseases represent a serious threat to public health across the world. It is estimated at about 60% of all deaths worldwide and approximately 43% of the global burden of chronic diseases. Thus, the analysis of the healthcare data has helped h...
Bayes Theorem Public Health United States Mass Screening Algorithms Support Vector Machine Humans Machine Learning Female Cluster Analysis Male Chronic Disease
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