AIMC Topic: Bayes Theorem

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ECG Signal Modeling Using Volatility Properties: Its Application in Sleep Apnea Syndrome.

Journal of healthcare engineering Jul 7, 2021
This study presents and evaluates the mathematical model to estimate the mean and variance of single-lead ECG signals in sleep apnea syndrome. Our objective is to use the volatility property of the ECG signal for modeling. ECG signal is a stochastic ...
Incidence Bayes Theorem Electrocardiography Sleep Apnea Syndromes Humans Neural Networks, Computer
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Multitask learning over shared subspaces.

PLoS computational biology Jul 6, 2021
This paper uses constructs from machine learning to define pairs of learning tasks that either shared or did not share a common subspace. Human subjects then learnt these tasks using a feedback-based approach and we hypothesised that learning would b...
Humans Neural Networks, Computer Female Young Adult Adult Machine Learning Algorithms Multitasking Behavior Computational Biology Bayes Theorem Task Performance and Analysis Male Adolescent
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Urine cell image recognition using a deep-learning model for an automated slide evaluation system.

BJU international Jul 5, 2021
OBJECTIVES: To develop a classification system for urine cytology with artificial intelligence (AI) using a convolutional neural network algorithm that classifies urine cell images as negative (benign) or positive (atypical or malignant).
Humans Deep Learning Image Processing, Computer-Assisted Bayes Theorem Neural Networks, Computer Artificial Intelligence
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Machine learning approach to discovery of small molecules with potential inhibitory action against vasoactive metalloproteases.

Molecular diversity Jul 3, 2021
With the advancement of combinatorial chemistry and big data, drug repositioning has boomed. In this sense, machine learning and artificial intelligence techniques offer a priori information to identify the most promising candidates. In this study, w...
Quantitative Structure-Activity Relationship Metalloproteases Drug Repositioning Bayes Theorem Humans Machine Learning Artificial Intelligence Molecular Docking Simulation
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Undersampling bankruptcy prediction: Taiwan bankruptcy data.

PloS one Jul 1, 2021
Machine learning models have increasingly been used in bankruptcy prediction. However, the observed historical data of bankrupt companies are often affected by data imbalance, which causes incorrect prediction, resulting in substantial economic losse...
Discriminant Analysis Bankruptcy Machine Learning Taiwan Algorithms Bayes Theorem Humans
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Non-invasive thyroid detection based on electroglottogram signal using machine learning classifiers.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jun 27, 2021
Thyroid is a butterfly shaped gland located in the neck region. Hormones are secreted by the thyroid gland that is responsible for various functions that maintain metabolism of the body. The variance in secretion of the hormones causes disorders such...
Bayes Theorem Humans ROC Curve Machine Learning Thyroid Gland Support Vector Machine Algorithms
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Comparison of Radiomic Models Based on Different Machine Learning Methods for Predicting Intracerebral Hemorrhage Expansion.

Clinical neuroradiology Jun 22, 2021
PURPOSE: The objective of this study was to predict hematoma expansion (HE) by radiomic models based on different machine learning methods and determine the best radiomic model through the comparison.
Cerebral Hemorrhage Bayes Theorem Machine Learning Retrospective Studies ROC Curve Humans
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Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.

Journal of medical Internet research Jun 21, 2021
BACKGROUND: The Multidimensional Prognostic Index (MPI) is an aggregate, comprehensive, geriatric assessment scoring system derived from eight domains that predict adverse outcomes, including 12-month mortality. However, the prediction accuracy of us...
Machine Learning Prospective Studies Humans Australia Bayes Theorem Aged Prognosis Female Male Child
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BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning.

Risk analysis : an official publication of the Society for Risk Analysis Jun 19, 2021
In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty. However, human reasoning in these cases is prone to confusion and error. Bayesian networks (BNs) are an artificia...
Uncertainty Bayes Theorem Artificial Intelligence Problem Solving Software Humans
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QSAR modeling without descriptors using graph convolutional neural networks: the case of mutagenicity prediction.

Molecular diversity Jun 19, 2021
Deep neural networks are effective in learning directly from low-level encoded data without the need of feature extraction. This paper shows how QSAR models can be constructed from 2D molecular graphs without computing chemical descriptors. Two graph...
Mutagenesis Mutagens Quantitative Structure-Activity Relationship Drug Discovery Deep Learning Molecular Structure Bayes Theorem Models, Theoretical Neural Networks, Computer Algorithms
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