AIMC Topic: Bayes Theorem

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Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor.

Sensors (Basel, Switzerland) Oct 7, 2021
At present, people spend most of their time in passive rather than active mode. Sitting with computers for a long time may lead to unhealthy conditions like shoulder pain, numbness, headache, etc. To overcome this problem, human posture should be cha...
Bayes Theorem Young Adult Adult Male Humans Smartphone Support Vector Machine Algorithms Monitoring, Physiologic Female
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DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Identifying the microbe-disease associations is conducive to understanding the pathogenesis of disease from the perspective of microbe. In this paper, we propose a deep matrix factorization prediction model (DMFMDA) based on deep neural network. Firs...
Bayes Theorem Colonic Neoplasms Host-Pathogen Interactions Deep Learning Computational Biology Humans Neural Networks, Computer Inflammatory Bowel Diseases Asthma
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Framework for classification of cancer gene expression data using Bayesian hyper-parameter optimization.

Medical & biological engineering & computing Oct 5, 2021
Computational classification of cancers is an important research problem. Gene expression data has 1000s of features, very few samples, and a class imbalance problem. In this paper, we have proposed a framework for the classification of cancer gene e...
Neoplasms Support Vector Machine Bayes Theorem Humans Algorithms Gene Expression
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Bayesian supervised machine learning classification of neural networks with pathological perturbations.

Biomedical physics & engineering express Oct 5, 2021
Extraction of temporal features of neuronal activity from electrophysiological data can be used for accurate classification of neural networks in healthy and pathologically perturbed conditions. In this study, we provide an extensive approach for the...
Algorithms Neural Networks, Computer Bayes Theorem Machine Learning Supervised Machine Learning
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Classification of Alzheimer's Disease Using Gaussian-Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network.

Computational and mathematical methods in medicine Oct 4, 2021
Alzheimer's disease (AD) is one of the most important causes of mortality in elderly people, and it is often challenging to use traditional manual procedures when diagnosing a disease in the early stages. The successful implementation of machine lear...
Neuroimaging Cognitive Dysfunction Normal Distribution Imaging, Three-Dimensional Humans Prognosis Alzheimer Disease Computational Biology Magnetic Resonance Imaging Case-Control Studies Neural Networks, Computer Early Diagnosis Deep Learning Multimodal Imaging Bayes Theorem
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Establishing a New Link between Fuzzy Logic, Neuroscience, and Quantum Mechanics through Bayesian Probability: Perspectives in Artificial Intelligence and Unconventional Computing.

Molecules (Basel, Switzerland) Oct 2, 2021
Human interaction with the world is dominated by uncertainty. Probability theory is a valuable tool to face such uncertainty. According to the Bayesian definition, probabilities are personal beliefs. Experimental evidence supports the notion that hum...
Fuzzy Logic Bayes Theorem Quantum Theory Humans Artificial Intelligence Brain Probability Neurosciences
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Ultrasonic Defect Characterization Using the Scattering Matrix: A Performance Comparison Study of Bayesian Inversion and Machine Learning Schemas.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Sep 27, 2021
Accurate defect characterization is desirable in the ultrasonic nondestructive evaluation as it can provide quantitative information about the defect type and geometry. For defect characterization using ultrasonic arrays, high-resolution images can p...
Supervised Machine Learning Ultrasonics Neural Networks, Computer Machine Learning Bayes Theorem
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Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors.

Scientific reports Sep 23, 2021
Brain tumors represent the highest cause of mortality in the pediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging. Survival biomarkers are challenging to identify due to the relatively low numbers of indiv...
Image Processing, Computer-Assisted Humans Infant, Newborn Bayes Theorem Brain Neoplasms Machine Learning Biopsy Adolescent Neoplasm Grading Male Survival Analysis Brain Magnetic Resonance Angiography Child, Preschool Female Kaplan-Meier Estimate Risk Assessment Diffusion Magnetic Resonance Imaging Child Infant
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ESVM-SWRF: Ensemble SVM-based sample weighted random forests for liver disease classification.

International journal for numerical methods in biomedical engineering Sep 21, 2021
Recently, a significant way to diagnose the disease is using the model of medical data mining. The most challenging task in the healthcare field is to face a large amount of data during disease analyzes and prediction. Once the data are transformed i...
Bayes Theorem Liver Diseases Humans Neural Networks, Computer Algorithms Support Vector Machine
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Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences.

Medical & biological engineering & computing Sep 20, 2021
Advances in high-throughput techniques lead to evolving a large number of unknown protein sequences (UPS). Functional characterization of UPS is significant for the investigation of disease symptoms and drug repositioning. Protein subcellular localiz...
Bayes Theorem Amino Acid Sequence Algorithms Support Vector Machine Proteins Neural Networks, Computer
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