Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype Abstract Non-small cell lung cancer (NSCLC) is the most common form of lung cancer. It is a complex…
Multimodal Diagnosis using Deep Fuzzy Cognitive Map with Extreme Learning Machine Integrated into a Medical Decision Support System for Coronary Artery Disease and Non-Small Cell Lung Cancer Detection Abstract Early detection of Coronary Artery Disease (CAD) and Non-Small Cell Lung Cancer (NSCLC) is crucial for improving…
A Fuzzy Cognitive Map learning approach for coronary artery disease diagnosis in Nuclear Medicine Abstract Coronary artery disease (CAD) is the primary cause of death and chronic disability among cardiovascular conditions worldwide.…
Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging Abstract Non-Small Cell Lung Cancer (NSCLC) constitutes the major cause of cancer deaths worldwide in both men and…
A Medical Decision Support System for the Prediction of the Coronary Artery Disease Using Fuzzy Cognitive Maps Abstract There is a lot discussion nowadays regarding the decision-making problem. The Making decisions and creating computational models…
Towards an Internet of Things application for the prognosis of Coronary Artery Disease using Machine Learning and Fuzzy Logic Abstract Internet of Things (IoT) is a field of growing interest and reputation. It is a result of…
Fuzzy Cognitive Maps and Explainable Artificial Intelligence: a critical perspective Abstract There is a lot of discussion regarding the interpretability and explainability of modern artificial intelligence methodologies, especially…
Intelligent Modeling for the food chain using Fuzzy Cognitive Maps Abstract The development of a methodological framework for evaluating the quality of a “product” on a food chain…
Neural-FCM: A Deep Learning Approach for Weight Matrix Optimization in Fuzzy Cognitive Map Classifiers Abstract The demand for interpretable and accurate machine learning models continues to grow, especially in critical domains. The…
Explainable deep fuzzy cognitive map diagnosis of coronary artery disease: Integrating myocardial perfusion imaging, clinical data, and natural language insights
Modeling the spread of dangerous pandemics with the utilization of a Hybrid Statistical- Advanced-Fuzzy-Cognitive-Map algorithm: the example of COVID-19
Advanced fuzzy cognitive maps: state space and rule-based methodology for coronary artery disease detection
Non – invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps
