AI Medical Compendium Topic:
Bayes Theorem

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Terahertz signal analysis and substance identification via Zernike moments.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 15, 2022
Terahertz (THz) spectra contain chemical information, along with noise and variable backgrounds. Measurement environmental changes and spectral signal differences caused by changes in the sample state can degrade the accuracy of the calibration model...
Support Vector Machine Terahertz Spectroscopy Bayes Theorem Discriminant Analysis
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A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization.

Scientific reports Feb 15, 2022
Genomic variant interpretation is a critical step of the diagnostic procedure, often supported by the application of tools that may predict the damaging impact of each variant or provide a guidelines-based classification. We propose the application o...
Genome, Human Logistic Models Bayes Theorem Genetic Testing Cohort Studies Genetic Variation Genomics High-Throughput Nucleotide Sequencing Machine Learning Genetic Predisposition to Disease Practice Guidelines as Topic Software Research Design Humans Computer Simulation Neoplasms
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Automated Cardioailment Identification and Prevention by Hybrid Machine Learning Models.

Computational and mathematical methods in medicine Feb 15, 2022
Accurate prediction of cardiovascular disease is necessary and considered to be a difficult attempt to treat a patient effectively before a heart attack occurs. According to recent studies, heart disease is said to be one of the leading origins of de...
Diagnosis, Computer-Assisted Models, Cardiovascular Databases, Factual Computational Biology Humans Heart Diseases Bayes Theorem Female Probability Machine Learning Male Heart Disease Risk Factors Algorithms
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A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models.

Scientific reports Feb 14, 2022
This study aims to develop an assumption-free data-driven model to accurately forecast COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the Gaussian process regression (GPR) hyperparameters to develop an efficient ...
Machine Learning Pandemics COVID-19 Humans Neural Networks, Computer SARS-CoV-2 Brazil India Bayes Theorem Algorithms Forecasting Reproducibility of Results
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In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks.

Sensors (Basel, Switzerland) Feb 2, 2022
American foulbrood is a dangerous bee disease that attacks the sealed brood. It quickly leads to the death of bee colonies. Efficient diagnosis of this disease is essential. As specific odours are produced when larvae rot, it was investigated whether...
Bees Electronic Nose United States Neural Networks, Computer Bayes Theorem Animals Semiconductors Larva
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Dynamic Bayesian networks for prediction of health status and treatment effect in patients with chronic lymphocytic leukemia.

Scientific reports Feb 2, 2022
Chronic lymphocytic leukemia (CLL) is the most common blood cancer in adults. The course of CLL and patients' response to treatment are varied. This variability makes it difficult to select the most appropriate treatment regimen and predict the progr...
Male Middle Aged Risk Assessment Risk Factors Aged Leukemia, Lymphocytic, Chronic, B-Cell Health Status Predictive Value of Tests Humans Bayes Theorem Disease Progression Clinical Decision-Making Health Status Indicators Artificial Intelligence Time Factors Female Decision Support Techniques Treatment Outcome
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Deploying Machine Learning Techniques for Human Emotion Detection.

Computational intelligence and neuroscience Feb 2, 2022
Emotion recognition is one of the trending research fields. It is involved in several applications. Its most interesting applications include robotic vision and interactive robotic communication. Human emotions can be detected using both speech and v...
Algorithms Speech Support Vector Machine Humans Machine Learning Emotions Bayes Theorem
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Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents.

PloS one Feb 2, 2022
To undertake a reliable analysis of injury severity in road traffic accidents, a complete understanding of important attributes is essential. As a result of the shift from traditional statistical parametric procedures to computer-aided methods, machi...
Area Under Curve Severity of Illness Index Bayes Theorem Pakistan ROC Curve Accidents, Traffic Wounds and Injuries Logistic Models Humans Machine Learning
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Anomaly detection in chest F-FDG PET/CT by Bayesian deep learning.

Japanese journal of radiology Jan 30, 2022
PURPOSE: To develop an anomaly detection system in PET/CT with the tracer F-fluorodeoxyglucose (FDG) that requires only normal PET/CT images for training and can detect abnormal FDG uptake at any location in the chest region.
Radiopharmaceuticals Humans Deep Learning Positron-Emission Tomography Bayes Theorem Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography
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Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques.

Computational intelligence and neuroscience Jan 30, 2022
Recently, artificial intelligence (AI) domain increased to contain finance, education, health, mining, and education. Artificial intelligence controls the performance of systems that use new technologies, especially in the education environment. The ...
Computer-Assisted Instruction Machine Learning Support Vector Machine Algorithms Bayes Theorem Artificial Intelligence
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