AI Medical Compendium Journal:
Proceedings. International Conference on Computational Science and Computational Intelligence

Showing 1 to 4 of 4 articles

Optimization of Smoking Classification by Applying Neural Network with Variable Importance Using Cytokine Biomarkers.

Proceedings. International Conference on Computational Science and Computational Intelligence
Cigarette smoking is a preventable epidemic that is a leading cause of death. It increases the risk of coronary heart disease, stroke, lung cancer, chronic obstructive lung diseases etc., multifold. Smoking tobacco is not only injurious to oneself bu...

Logistic Regression and Statistical Regularization Techniques for Risk Classification of Coronary Artery Disease using Cytokines transported by high density lipoproteins.

Proceedings. International Conference on Computational Science and Computational Intelligence
Coronary artery disease (CAD) is a leading cause of mortality in the world. It is important to be able to proactively assess the risk of the disease, using novel biomarkers like cytokines that are indicators of inflammation in addition to traditional...

Smoking Classification Using Novel Plasma Cytokines by implementing Machine Learning and Statistical Methods.

Proceedings. International Conference on Computational Science and Computational Intelligence
Smoking is a major cause of premature and preventable death. Tobacco exposure has a detrimental effect on many organs and contributes to multiple diseases including chronic obstructive pulmonary disease (COPD), cardiovascular disease, cancer, and dia...

Application of Machine Learning to Sleep Stage Classification.

Proceedings. International Conference on Computational Science and Computational Intelligence
Sleep studies are imperative to recapitulate phenotypes associated with sleep loss and uncover mechanisms contributing to psychopathology. Most often, investigators manually classify the polysomnography into vigilance states, which is time-consuming,...