[HTML][HTML] Evaluation of machine learning algorithms for classification of EEG signals
In brain–computer interfaces (BCIs), it is crucial to process brain signals to improve the
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …
Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive …
E Stamate, AI Piraianu, OR Ciobotaru, R Crassas… - Diagnostics, 2024 - mdpi.com
Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …
human experience. In the medical field, there are numerous applications of AI and …
Machine learning-based predictive models for patients with venous thromboembolism: A Systematic Review
V Danilatou, D Dimopoulos… - Thrombosis and …, 2024 - thieme-connect.com
Background: Venous thromboembolism (VTE) is a chronic disorder with a significant health
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …
[HTML][HTML] PE-DeepNet: A deep neural network model for pulmonary embolism detection
D Lynch, M Suriya - International Journal of Intelligent Networks, 2022 - Elsevier
Abstract Machine learning in medical image processing has shown to be a useful way for
discovering patterns in both poorly labelled and unlabeled datasets. Venous …
discovering patterns in both poorly labelled and unlabeled datasets. Venous …
Evaluating Agile Neural Educational System for Effective Resource Management
The major challenge of most basic schools is inadequate educational resources despite a
conscious effort to constantly provide. This is a result of inaccurate data management …
conscious effort to constantly provide. This is a result of inaccurate data management …
Prediction model of deep vein thrombosis risk after lower extremity orthopedic surgery
J Zhang, Y Shao, H Zhou, R Li, J Xu, Z Xiao, L Lu, L Cai - Heliyon, 2024 - cell.com
Purpose This investigation was conceived to engineer and appraise a pioneering clinical
nomogram, crafted to bridge the extant chasm in literature regarding the postoperative risk …
nomogram, crafted to bridge the extant chasm in literature regarding the postoperative risk …
Enhancing Deep Vein Thrombosis Diagnosis with Multi-Objective Evolutionary Algorithm and Machine Learning
R Sorano, KSN Ripon, LV Magnusson… - … on Applied Artificial …, 2024 - ieeexplore.ieee.org
Deep vein thrombosis is a serious medical condition requiring prompt and accurate
diagnosis. The identification of thrombosis presents a challenging task characterized by …
diagnosis. The identification of thrombosis presents a challenging task characterized by …
A critical review of data mining in education on the levels and aspects of education
Purpose This systematic literature review aims to identify the pattern of data mining (DM)
research by looking at the levels and aspects of education. Design/methodology/approach …
research by looking at the levels and aspects of education. Design/methodology/approach …
Disease Prediction and Classification using Intelligent Algorithms
PM Priya - 2023 Third International Conference on Artificial …, 2023 - ieeexplore.ieee.org
Cardio Vascular Diseases are the major risk factors for human survival. Cardio Vascular
Diseases are comprised with many forms such as abnormal heart rhythms, congenital heart …
Diseases are comprised with many forms such as abnormal heart rhythms, congenital heart …
Numerical and evolutionary optimization 2021
This Special Issue was inspired by the 9th International Workshop on Numerical and
Evolutionary Optimization (NEO 2021) held—due to the COVID-19 pandemic—as an online …
Evolutionary Optimization (NEO 2021) held—due to the COVID-19 pandemic—as an online …