AIMC Topic:
Bayes Theorem

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Using automatically extracted information from mammography reports for decision-support.

Journal of biomedical informatics Jul 4, 2016
OBJECTIVE: To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision-support about breast cancer diagnosis. The ultimate g...
Information Storage and Retrieval Humans Mammography Female Natural Language Processing Breast Neoplasms Bayes Theorem Decision Support Systems, Clinical
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Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015).

Journal of chemical information and modeling Jul 1, 2016
The renewed urgency to develop new treatments for Mycobacterium tuberculosis (Mtb) infection has resulted in large-scale phenotypic screening and thousands of new active compounds in vitro. The next challenge is to identify candidates to pursue in a ...
Machine Learning Animals Disease Models, Animal Drug Discovery Bayes Theorem Tuberculosis Mice Computational Biology Mycobacterium tuberculosis
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Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI.

Behavioural brain research Jun 23, 2016
Brain network alterations in patients with Alzheimer's disease (AD) has been the subject of much investigation, but the biological mechanisms underlying these alterations remain poorly understood. Here, we aim to identify the changes in brain network...
Humans Machine Learning Brain Female Cognitive Dysfunction Multivariate Analysis Magnetic Resonance Imaging Psychological Tests Brain Mapping Bayes Theorem Aged Mental Status and Dementia Tests Alzheimer Disease Rest Sensitivity and Specificity Male
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Using machine learning to support healthcare professionals in making preauthorisation decisions.

International journal of medical informatics Jun 16, 2016
BACKGROUND: Preauthorisation is a control mechanism that is used by Health Insurance Providers (HIPs) to minimise wastage of resources through the denial of the procedures that were unduly requested. However, an efficient preauthorisation process req...
Support Vector Machine Bayes Theorem Algorithms Health Personnel Clinical Decision-Making Humans Artificial Intelligence Machine Learning
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Statistical Performance Analysis of Data-Driven Neural Models.

International journal of neural systems Jun 9, 2016
Data-driven model-based analysis of electrophysiological data is an emerging technique for understanding the mechanisms of seizures. Model-based analysis enables tracking of hidden brain states that are represented by the dynamics of neural mass mode...
Humans Neural Networks, Computer Algorithms Seizures Data Interpretation, Statistical Stochastic Processes Brain Neurons Uncertainty Bayes Theorem Computer Simulation Synapses Membrane Potentials Epilepsy Models, Neurological
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A Multilayer Perceptron Based Smart Pathological Brain Detection System by Fractional Fourier Entropy.

Journal of medical systems Jun 2, 2016
This work aims at developing a novel pathological brain detection system (PBDS) to assist neuroradiologists to interpret magnetic resonance (MR) brain images. We simplify this problem as recognizing pathological brains from healthy brains. First, 12 ...
Brain Diseases Fourier Analysis Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms Bayes Theorem
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Fitting the data from embryo implantation prediction: Learning from label proportions.

Statistical methods in medical research May 30, 2016
Machine learning techniques have been previously used to assist clinicians to select embryos for human-assisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve machine learning techniques for ...
Machine Learning Databases, Factual Embryo Implantation Humans Bayes Theorem Spain Reproductive Techniques, Assisted
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Intrinsic Plasticity for Natural Competition in Koniocortex-Like Neural Networks.

International journal of neural systems May 16, 2016
In this paper, we use the neural property known as intrinsic plasticity to develop neural network models that resemble the koniocortex, the fourth layer of sensory cortices. These models evolved from a very basic two-layered neural network to a compl...
Thalamus Neural Inhibition Neuronal Plasticity Neurons Models, Neurological Cerebral Cortex Humans Software Bayes Theorem Neural Pathways Neural Networks, Computer Algorithms Machine Learning Computer Simulation
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A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories.

Journal of biomedical informatics May 13, 2016
This study examines the effectiveness of state-of-the-art supervised machine learning methods in conjunction with different feature types for the task of automatic annotation of fragments of clinical text based on codebooks with a large number of cat...
Machine Learning Support Vector Machine Decision Trees Bayes Theorem Semantics Data Curation
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Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in Plants.

Sensors (Basel, Switzerland) May 5, 2016
Phenomics is a technology-driven approach with promising future to obtain unbiased data of biological systems. Image acquisition is relatively simple. However data handling and analysis are not as developed compared to the sampling capacities. We pre...
Support Vector Machine Bayes Theorem Plants Artificial Intelligence Algorithms Phenotype
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