AIMC Topic: Voting

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A Weighted Voting Approach for Traditional Chinese Medicine Formula Classification Using Large Language Models: Algorithm Development and Validation Study.

JMIR medical informatics Jul 24, 2025
BACKGROUND: Several clinical cases and experiments have demonstrated the effectiveness of traditional Chinese medicine (TCM) formulas in treating and preventing diseases. These formulas contain critical information about their ingredients, efficacy, ...
Voting Drugs, Chinese Herbal Large Language Models Machine Learning Humans Language Algorithms Medicine, Chinese Traditional
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Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.

PloS one Jan 9, 2025
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various ma...
Stroke Voting Decision Trees Bayes Theorem ROC Curve Support Vector Machine Machine Learning Algorithms Humans
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Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Facial expression recognition (FER) in the wild is a challenging pattern recognition task affected by the images' low quality and has attracted broad interest in computer vision. Existing FER methods failed to obtain sufficient accuracy to support th...
Humans Facial Expression Voting Automated Facial Recognition Neural Networks, Computer Pattern Recognition, Automated Algorithms
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Late feature fusion using neural network with voting classifier for Parkinson's disease detection.

BMC medical informatics and decision making Sep 27, 2024
Parkinson's disease (PD) is classified as a neurological, progressive illness brought on by cell death in the posterior midbrain. Early PD detection will assist doctors in reducing the disease's consequences. A collection of skilled models that may b...
Early Diagnosis Handwriting Voting Machine Learning Parkinson Disease Humans Neural Networks, Computer
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Can biased search results change people's opinions about anything at all? a close replication of the Search Engine Manipulation Effect (SEME).

PloS one Mar 26, 2024
In previous experiments we have conducted on the Search Engine Manipulation Effect (SEME), we have focused on the ability of biased search results to shift voting preferences. In three new experiments with a total of 1,137 US residents (mean age = 33...
Search Engine Politics Voting Humans Artificial Intelligence Adult Attitude
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Artificial intelligence in tongue diagnosis: classification of tongue lesions and normal tongue images using deep convolutional neural network.

BMC medical imaging Mar 8, 2024
OBJECTIVE: This study aims to classify tongue lesion types using tongue images utilizing Deep Convolutional Neural Networks (DCNNs).
Humans Neural Networks, Computer Tongue Artificial Intelligence Hospitalization Voting
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Classification of EMG signals with CNN features and voting ensemble classifier.

Computer methods in biomechanics and biomedical engineering Feb 5, 2024
Electromyography (EMG) signals are primarily used to control prosthetic hands. Classifying hand gestures efficiently with EMG signals presents numerous challenges. In addition to overcoming these challenges, a successful combination of feature extrac...
Hand Electromyography Algorithms Signal Processing, Computer-Assisted Voting Humans Neural Networks, Computer
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An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.

IEEE journal of biomedical and health informatics Feb 5, 2024
Semi-supervised learning methods have been explored to mitigate the scarcity of pixel-level annotation in medical image segmentation tasks. Consistency learning, serving as a mainstream method in semi-supervised training, suffers from low efficiency ...
Image Processing, Computer-Assisted Supervised Machine Learning Voting
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A Performance-Based Voting Framework for Assertion Detection in Clinical Notes.

Studies in health technology and informatics Aug 7, 2025
Extracting structured information from unstructured clinical text remains a critical challenge in healthcare. This study introduces a robust framework for clinical assertion detection, integrating domain-specific embeddings like BioBERT, contextualiz...
Natural Language Processing Humans Data Mining Machine Learning Voting Electronic Health Records
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iAVP-RFVOT: Identify Antiviral Peptides by Random Forest Voting Machine Learning with Unified Manifold Learning Embedded Features.

Biochemistry Jul 15, 2025
Viruses are transmitted through multiple routes and can cause a wide range of diseases. Antiviral peptides (AVPs) have emerged as a cost-effective and low-side-effect strategy for combating viral infections. However, identifying antiviral peptides ex...
Machine Learning Algorithms Peptides Humans Voting Antiviral Agents Random Forest
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