AIMC Topic: Bayes Theorem

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Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images.

Computational and mathematical methods in medicine Sep 12, 2022
The level of patient's illness is determined by diagnosing the problem through different methods like physically examining patients, lab test data, and history of patient and by experience. To treat the patient, proper diagnosis is very much importan...
Arrhythmias, Cardiac Deep Learning Electrocardiography Support Vector Machine Bayes Theorem Machine Learning Algorithms Humans
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Investigating Methods for Cognitive Workload Estimation for Assistive Robots.

Sensors (Basel, Switzerland) Sep 9, 2022
Robots interacting with humans in assistive contexts have to be sensitive to human cognitive states to be able to provide help when it is needed and not overburden the human when the human is busy. Yet, it is currently still unclear which sensing mod...
Bayes Theorem Electroencephalography Workload Cognition Robotics Humans
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Neural network and Bayesian-based prediction of breeding values in Beetal goat.

Tropical animal health and production Sep 8, 2022
The estimation of breeding values is prime concern for animal breeders in order to achieve desired genetic progress of farm animals. However, current methods for estimating BV involve simultaneous selection of animal model which are computationally i...
Bayes Theorem Goats Phenotype Animals Weaning Neural Networks, Computer
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Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.

Scientific reports Sep 7, 2022
Chronic back pain (CBP) is heterogenous and identifying sub-groups could improve clinical decision making. Machine learning can build upon prior sub-grouping approaches by using a data-driven approach to overcome clinician subjectivity, however, only...
Machine Learning Brain Humans Bayes Theorem Back Pain Cross-Sectional Studies
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MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data.

Computers in biology and medicine Sep 6, 2022
The discovery of cancer subtypes based on unsupervised clustering helps in providing a precise diagnosis, guide treatment, and improve patients' prognoses. Instead of single-omics data, multi-omics data can improve the clustering performance because ...
Deep Learning Multiomics Humans Cluster Analysis Neoplasms Bayes Theorem
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COVID-19 safe campus evaluation for universities by a hybrid interval type-2 fuzzy decision-making model.

Environmental science and pollution research international Sep 2, 2022
The fight against the COVID-19 pandemic, which has affected the whole world in recent years and has had devastating effects on all segments of society, has been one of the most important priorities. The Turkish Standards Institution has determined a ...
Bayes Theorem Turkey Fuzzy Logic Decision Making Humans COVID-19 Pandemics Universities
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Experimental evidence of effective human-AI collaboration in medical decision-making.

Scientific reports Sep 2, 2022
Artificial Intelligence (AI) systems are precious support for decision-making, with many applications also in the medical domain. The interaction between MDs and AI enjoys a renewed interest following the increased possibilities of deep learning devi...
Clinical Decision-Making Bayes Theorem Humans Artificial Intelligence
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The Effect of Face Masks on Physiological Data and the Classification of Rehabilitation Walking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 1, 2022
Gait analysis and the assessment of rehabilitation exercises are important processes that occur during fitness level monitoring and the treatment of neurological disorders. This paper presents the possibility of using oximetric, heart rate (HR), acce...
Humans Neural Networks, Computer Walking Artificial Intelligence Masks Bayes Theorem
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Capped Linex Metric Twin Support Vector Machine for Robust Classification.

Sensors (Basel, Switzerland) Aug 31, 2022
In this paper, a novel robust loss function is designed, namely, capped linear loss function Laε. Simultaneously, we give some ideal and important properties of Laε, such as boundedness, nonconvexity and robustness. Furthermore, a new binary classifi...
Support Vector Machine Bayes Theorem Algorithms
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Synthesizing theories of human language with Bayesian program induction.

Nature communications Aug 30, 2022
Automated, data-driven construction and evaluation of scientific models and theories is a long-standing challenge in artificial intelligence. We present a framework for algorithmically synthesizing models of a basic part of human language: morpho-pho...
Humans Artificial Intelligence Language Learning Bayes Theorem Linguistics
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