AIMC Topic:
Bayes Theorem

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Variational inference with ARD prior for NIRS diffuse optical tomography.

IEEE transactions on neural networks and learning systems May 1, 2015
Diffuse optical tomography (DOT) reconstructs 3-D tomographic images of brain activities from observations by near-infrared spectroscopy (NIRS) that is formulated as an ill-posed inverse problem. This brief presents a method for NIRS DOT based on a h...
Algorithms Brain Humans Neural Networks, Computer Image Processing, Computer-Assisted Bayes Theorem Computer Simulation Spectroscopy, Near-Infrared Tomography, Optical Hemoglobins Pattern Recognition, Automated
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A sequential decision-theoretic model for medical diagnostic system.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
Although diagnostic expert systems using a knowledge base which models decision-making of traditional experts can provide important information to non-experts, they tend to duplicate the errors made by experts. Decision-Theoretic Model (DTM) is there...
Bayes Theorem Expert Systems Diagnosis, Computer-Assisted Humans Models, Theoretical Decision Support Techniques
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Evidence reasoning method for constructing conditional probability tables in a Bayesian network of multimorbidity.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: The intrinsic mechanism of multimorbidity is difficult to recognize and prediction and diagnosis are difficult to carry out accordingly. Bayesian networks can help to diagnose multimorbidity in health care, but it is difficult to obtain t...
Probability Expert Systems Humans Comorbidity Algorithms Bayes Theorem
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Fuzzy Naive Bayesian for constructing regulated network with weights.

Bio-medical materials and engineering Jan 1, 2015
In the data mining field, classification is a very crucial technology, and the Bayesian classifier has been one of the hotspots in classification research area. However, assumptions of Naive Bayesian and Tree Augmented Naive Bayesian (TAN) are unfair...
Reproducibility of Results Pattern Recognition, Automated Fuzzy Logic Sensitivity and Specificity Machine Learning Bayes Theorem Diagnosis, Computer-Assisted Algorithms Decision Support Systems, Clinical
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A Comparative Study of Bayes Net, Naive Bayes and Averaged One-Dependence Estimators for Osteoporosis Analysis.

Studies in health technology and informatics Jan 1, 2015
This paper presents an evaluation of the accuracy of the Bayesian classifiers: Bayes Net, Naive Bayes and Averaged One-Dependence Estimator, to support diagnoses of osteopenia and osteoporosis. All classifiers showed good results, thus, given data, i...
Humans Machine Learning Diagnosis, Computer-Assisted Algorithms Reproducibility of Results Bayes Theorem Osteoporosis Decision Support Systems, Clinical Sensitivity and Specificity Female
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Fast, Continuous Audiogram Estimation Using Machine Learning.

Ear and hearing Jan 1, 2015
OBJECTIVES: Pure-tone audiometry has been a staple of hearing assessments for decades. Many different procedures have been proposed for measuring thresholds with pure tones by systematically manipulating intensity one frequency at a time until a disc...
Adult Male Aged, 80 and over Young Adult Bayes Theorem Audiometry, Pure-Tone Machine Learning Hearing Loss Middle Aged Female Reproducibility of Results Adolescent Humans Aged
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Automated Classification of Clinical Incident Types.

Studies in health technology and informatics Jan 1, 2015
We consider the task of automatic classification of clinical incident reports using machine learning methods. Our data consists of 5448 clinical incident reports collected from the Incident Information Management System used by 7 hospitals in the sta...
Pattern Recognition, Automated Hospital Information Systems Medical Errors New South Wales Risk Management Bayes Theorem Machine Learning Reproducibility of Results Sensitivity and Specificity
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