AI Medical Compendium Topic:
Bayes Theorem

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A Decision Tree Model for Analysis and Judgment of Lower Limb Movement Comfort Level.

International journal of environmental research and public health
To address the problem of ambiguity and one-sidedness in the evaluation of comprehensive comfort perceptions during lower limb exercise, this paper deconstructs the comfort perception into two dimensions: psychological comfort and physiological comfo...

An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images.

Computational intelligence and neuroscience
The lungs are COVID-19's most important focus, as it induces inflammatory changes in the lungs that can lead to respiratory insufficiency. Reducing the supply of oxygen to human cells negatively impacts humans, and multiorgan failure with a high mort...

Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.

BMC geriatrics
BACKGROUND: Fragility hip fracture increases morbidity and mortality in older adult patients, especially within the first year. Identification of patients at high risk of death facilitates modification of associated perioperative factors that can red...

Bayesian optimization and deep learning for steering wheel angle prediction.

Scientific reports
Automated driving systems (ADS) have undergone a significant improvement in the last years. ADS and more precisely self-driving cars technologies will change the way we perceive and know the world of transportation systems in terms of user experience...

Proactive approach for preamble detection in 5G-NR PRACH using supervised machine learning and ensemble model.

Scientific reports
The physical random access channel (PRACH) is used in the uplink of cellular systems for initial access requests from the users. It is very hard to achieve low latency by implementing conventional methods in 5G. The performance of the system degrades...

Estimating muscle activation from EMG using deep learning-based dynamical systems models.

Journal of neural engineering
. To study the neural control of movement, it is often necessary to estimate how muscles are activated across a variety of behavioral conditions. One approach is to try extracting the underlying neural command signal to muscles by applying latent var...

Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization.

IEEE transactions on cybernetics
Multiple-related tasks can be learned simultaneously by sharing information among tasks to avoid tabula rasa learning and to improve performance in the no transfer case (i.e., when each task learns in isolation). This study investigates multitask lea...

An Efficient Image Categorization Method With Insufficient Training Samples.

IEEE transactions on cybernetics
Image classification is an important part of pattern recognition. With the development of convolutional neural networks (CNNs), many CNN methods are proposed, which have a large number of samples for training, which can have high performance. However...

PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images.

Contrast media & molecular imaging
OBJECTIVES: Fetal sex determination with ultrasound (US) examination is indicated in pregnancies at risk of X-linked genetic disorders or ambiguous genitalia. However, misdiagnoses often arise due to operator inexperience and technical difficulties w...

An Intelligent Recommendation Method for Tourist Attractions Based on Deep Learning.

Computational intelligence and neuroscience
Tourists are the people who can be seen all over the world. Therefore, this has increased the demand for product supply in tourist locations. Technological development would be the only solution to solve those issues related to the demand and supply ...