Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives
Sign Up to like & getrecommendations! Published in 2025 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.70030
Abstract: Chronic diseases (CDs) present a global health challenge due to their complex, overlapping symptoms and the limitations of traditional diagnostic methods. Artificial intelligence (AI)‐based techniques, particularly Machine Learning (ML) and Meta‐Heuristic Optimization (MHO) algorithms, have… read more here.
Keywords: multi classification; heuristic optimization; meta heuristic; machine learning ... See more keywords
Multi-classification of arrhythmias using a HCRNet on imbalanced ECG datasets
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106258
Abstract: BACKGROUND AND OBJECTIVE Cardiac arrhythmia, which is an abnormal heart rhythm, is a common clinical problem in cardiology. Arrhythmias can be divided into many Categories, and accurate detection of arrhythmias can effectively prevent heart disease… read more here.
Keywords: multi classification; time; model; performance ... See more keywords
Multi-attack and multi-classification intrusion detection for vehicle-mounted networks based on mosaic-coded convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-10200-4
Abstract: With the development of Internet of vehicles, the information exchange between vehicles and the outside world results in a higher risk of external network attacks to the vehicles. The attack modes to the most widely… read more here.
Keywords: vehicle mounted; multi classification; network; detection ... See more keywords
Research on Multi-Scale CNN and Transformer-Based Multi-Level Multi-Classification Method for Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3433374
Abstract: With the vigorous development of digital creativity, the image data generated by it has exploded. To effectively manage massive image data, multi-level and multi-classification management of images has become very necessary. However, the existing hierarchical… read more here.
Keywords: classification; multi level; multi classification; level multi ... See more keywords
A Multi-classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3204619
Abstract: Multimodal learning is widely used in automated early diagnosis of Alzheimer's disease. However, the current studies are based on an assumption that different modalities can provide more complementary information to help classify the samples from… read more here.
Keywords: multi classification; disease; alzheimer disease; framework ... See more keywords
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records
Sign Up to like & getrecommendations! Published in 2022 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-022-01776-y
Abstract: Purpose Predictively diagnosing infectious diseases helps in providing better treatment and enhances the prevention and control of such diseases. This study uses actual data from a hospital. A multiple infectious disease diagnostic model (MIDDM) is… read more here.
Keywords: infectious diseases; model; disease; accuracy ... See more keywords
A multi-classification detection model for imbalanced data in NIDS based on reconstruction and feature matching
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-023-00584-7
Abstract: With the exponential growth of various data interactions on network systems, network intrusions are also increasing. The emergence of edge computing technology brings a new solution to network security. However, due to the difficulty of… read more here.
Keywords: detection; feature matching; multi classification; model ... See more keywords
INFLUENCING FACTORS ON CHINESE WINE CONSUMERS’ BEHAVIOR UNDER DIFFERENT PURCHASING MOTIVATIONS BASED ON A MULTI-CLASSIFICATION METHOD
Sign Up to like & getrecommendations! Published in 2018 at "Italian Journal of Food Science"
DOI: 10.14674/ijfs-1182
Abstract: This study investigates the importance rating of influencing factors in driving wine consumption under four specific situations, that is, gift, banquet, party, and self-drinking, and thus achieves consumer segmentation. The affecting factors containing wine quality… read more here.
Keywords: multi classification; different purchasing; purchasing motivations; wine ... See more keywords
A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2019.01396
Abstract: Gene Expression Programming (GEP), a variant of Genetic Programming (GP), is a well established technique for automatic generation of computer programs. Due to the flexible representation, GEP has long been concerned as a classification algorithm… read more here.
Keywords: knowledge transfer; multi classification; classification;
A Multi-Classification Hybrid Quantum Neural Network Using an All-Qubit Multi-Observable Measurement Strategy
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24030394
Abstract: Quantum machine learning is a promising application of quantum computing for data classification. However, most of the previous research focused on binary classification, and there are few studies on multi-classification. The major challenge comes from… read more here.
Keywords: neural network; multi classification; quantum; classification ... See more keywords