AIMC Topic: Bayes Theorem

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A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging.

Computational and mathematical methods in medicine Nov 27, 2021
Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symptoms such as chest pain and dyspnea, and comorbidity related to cardiovascular diseases. Usually, these variables are analyzed by logistic regression ...
Computational Biology Myocardial Ischemia Logistic Models Myocardial Perfusion Imaging Support Vector Machine Male Middle Aged Cohort Studies Positron Emission Tomography Computed Tomography Humans Algorithms Exercise Test Machine Learning Female Coronary Artery Disease Aged Decision Trees Predictive Value of Tests Bayes Theorem
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Using Artificial Intelligence Technology to Solve the Electronic Health Service by Processing the Online Case Information.

Journal of healthcare engineering Nov 26, 2021
With the continuous improvement of economic level and the continuous development of science and technology in China, information technology has begun to integrate into all walks of life. Medical units have begun to change from the traditional medical...
Health Services Electronics Artificial Intelligence Technology Bayes Theorem Humans
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CAD system for lung nodule detection using deep learning with CNN.

Medical & biological engineering & computing Nov 22, 2021
The early detection of pulmonary nodules using computer-aided diagnosis (CAD) systems is very essential in reducing mortality rates of lung cancer. In this paper, we propose a new deep learning approach to improve the classification accuracy of pulmo...
Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Humans Lung Diagnosis, Computer-Assisted
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Deep Learning-Based Detection and Diagnosis of Subarachnoid Hemorrhage.

Journal of healthcare engineering Nov 22, 2021
Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases with high morbidity and mortality. Head computed tomography (CT) is among the preferred methods for the diagnosis of SAH, which is confirmed by CT showing high-dens...
Humans Tomography, X-Ray Computed Bayes Theorem Reproducibility of Results Subarachnoid Hemorrhage Deep Learning
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A Connectionist Model for Dynamic Economic Risk Analysis of Hydrocarbons Production Systems.

Risk analysis : an official publication of the Society for Risk Analysis Nov 16, 2021
This study presents a connectionist model for dynamic economic risk evaluation of reservoir production systems. The proposed dynamic economic risk modeling strategy combines evidence-based outcomes from a Bayesian network (BN) model with the dynamic ...
Hydrocarbons Risk Assessment Bayes Theorem Models, Economic Neural Networks, Computer
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Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms.

Computational and mathematical methods in medicine Nov 16, 2021
Keratoconus is a noninflammatory disease characterized by thinning and bulging of the cornea, generally appearing during adolescence and slowly progressing, causing vision impairment. However, the detection of keratoconus remains difficult in the ear...
Bayes Theorem Early Diagnosis Linear Models Support Vector Machine Decision Trees Keratoconus Databases, Factual Computer Simulation Cornea Severity of Illness Index Computational Biology Logistic Models Neural Networks, Computer Humans Machine Learning Algorithms
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Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches.

Computational and mathematical methods in medicine Nov 15, 2021
A vast amount of data is generated every second for microblogs, content sharing via social media sites, and social networking. Twitter is an essential popular microblog where people voice their opinions about daily issues. Recently, analyzing these o...
Logistic Models Support Vector Machine Models, Statistical Disinformation Deep Learning Computational Biology Bayes Theorem Social Networking Decision Trees Social Media Natural Language Processing Humans Neural Networks, Computer COVID-19 Algorithms Databases, Factual SARS-CoV-2
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A Novel Occupancy Mapping Framework for Risk-Aware Path Planning in Unstructured Environments.

Sensors (Basel, Switzerland) Nov 14, 2021
In the context of autonomous robots, one of the most important tasks is to prevent potential damage to the robot during navigation. For this purpose, it is often assumed that one must deal with known probabilistic obstacles, then compute the probabil...
Algorithms Robotics Bayes Theorem Probability
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A Machine Learning Approach to Predictive Modelling of Student Performance.

F1000Research Nov 11, 2021
- Many factors affect student performance such as the individual's background, habits, absenteeism and social activities. Using these factors, corrective actions can be determined to improve their performance. This study looks into the effects of th...
Data Mining Students Humans Support Vector Machine Machine Learning Bayes Theorem
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Bayesian nonparametric quantile process regression and estimation of marginal quantile effects.

Biometrics Nov 10, 2021
Flexible estimation of multiple conditional quantiles is of interest in numerous applications, such as studying the effect of pregnancy-related factors on low and high birth weight. We propose a Bayesian nonparametric method to simultaneously estimat...
Humans Neural Networks, Computer Regression Analysis Bayes Theorem Birth Weight Computer Simulation Pregnancy Female
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