AI Medical Compendium Topic

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Bayes Theorem

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Analysis of Graphic Design Based on AI Interaction Technology.

Journal of environmental and public health
The naive Bayes classification algorithm is used to determine the plane feature vector, and the color image enhancement algorithm based on the visual characteristics is used to improve the local contrast of the plane visual image. In addition, based ...

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

Computational and mathematical methods in medicine
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...

Investigating Methods for Cognitive Workload Estimation for Assistive Robots.

Sensors (Basel, Switzerland)
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...

Neural network and Bayesian-based prediction of breeding values in Beetal goat.

Tropical animal health and production
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...

Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.

Scientific reports
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...

MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data.

Computers in biology and medicine
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 ...

COVID-19 safe campus evaluation for universities by a hybrid interval type-2 fuzzy decision-making model.

Environmental science and pollution research international
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 ...

Experimental evidence of effective human-AI collaboration in medical decision-making.

Scientific reports
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...

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
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...

Capped Linex Metric Twin Support Vector Machine for Robust Classification.

Sensors (Basel, Switzerland)
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...