AIMC Topic: Ensemble Learning

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M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy.

BMC bioinformatics Apr 30, 2025
Accelerating drug discovery for glucocorticoid receptor (GR)-related disorders, including innovative machine learning (ML)-based approaches, holds promise in advancing therapeutic development, optimizing treatment efficacy, and mitigating adverse eff...
Receptors, Glucocorticoid Computational Biology Ensemble Learning Humans Machine Learning Algorithms Drug Discovery
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Prediction of Patient Visits for Skin Diseases through Enhanced Evolutionary Computation and Ensemble Learning.

Journal of medical systems Apr 23, 2025
Skin diseases are an important global public health issue, causing significant health and psychological burdens. Predicting dermatology outpatient visits is essential for optimizing hospital resources and improving diagnosis and treatment methods. Ba...
Acne Vulgaris Ensemble Learning Neural Networks, Computer Machine Learning China Skin Diseases Algorithms Humans
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Research on memory failure prediction based on ensemble learning.

PloS one Apr 23, 2025
Timely prediction of memory failures is crucial for the stable operation of data centers. However, existing methods often rely on a single classifier, which can lead to inaccurate or unstable predictions. To address this, we propose a new ensemble mo...
Algorithms Memory Humans Ensemble Learning Models, Theoretical Machine Learning
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Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets.

Scientific reports Apr 22, 2025
Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagn...
Humans Machine Learning Heart Diseases Ensemble Learning
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A systematic literature review: exploring the challenges of ensemble model for medical imaging.

BMC medical imaging Apr 18, 2025
BACKGROUND: Medical imaging has been essential and has provided clinicians with useful information about the human body to diagnose various health issues. Early diagnosis of diseases based on medical imaging can mitigate the risk of severe consequenc...
Diagnostic Imaging Ensemble Learning Humans
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Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms.

Toxicology mechanisms and methods Apr 11, 2025
Alga toxins have recently emerged as environmental risk factors to multiple human health issues. Mitochondrial toxicity is an essential element in the field of ecotoxicology, it is necessary to screen and manage mitochondrial toxicants from common al...
Machine Learning Marine Toxins Quantitative Structure-Activity Relationship Ensemble Learning Algorithms Mitochondria
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Domain generalization for image classification based on simplified self ensemble learning.

PloS one Apr 4, 2025
Domain generalization seeks to acquire knowledge from limited source data and apply it to an unknown target domain. Current approaches primarily tackle this challenge by attempting to eliminate the differences between domains. However, as cross-domai...
Image Processing, Computer-Assisted Ensemble Learning Machine Learning Humans Algorithms
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An ensemble learning model to predict lymph node metastasis in early gastric cancer.

Scientific reports Apr 2, 2025
Lymph node metastasis is a critical factor for determining therapeutic strategies and assessing the prognosis of early gastric cancer. This work aimed to establish a more dependable predictive model for identify lymph node metastasis in early gastric...
Humans Lymphatic Metastasis Ensemble Learning Middle Aged Lymph Nodes Risk Factors Aged Adult Stomach Neoplasms Prognosis Machine Learning Male Algorithms Female
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LMFE: A Novel Method for Predicting Plant LncRNA Based on Multi-Feature Fusion and Ensemble Learning.

Genes Mar 31, 2025
: Long non-coding RNAs (lncRNAs) play a crucial regulatory role in plant trait expression and disease management, making their accurate prediction a key research focus for guiding biological experiments. While extensive studies have been conducted on...
Machine Learning RNA, Plant Algorithms Plants Computational Biology RNA, Long Noncoding Ensemble Learning
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Automated Autism Assessment With Multimodal Data and Ensemble Learning: A Scalable and Consistent Robot-Enhanced Therapy Framework.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 31, 2025
Navigating the complexities of Autism Spectrum Disorder (ASD) diagnosis and intervention requires a nuanced approach that addresses both the inherent variability in therapeutic practices and the imperative for scalable solutions. This paper presents ...
Autistic Disorder Ensemble Learning Fixation, Ocular Head Movements Child Humans Eye Movements Robotics Machine Learning Autism Spectrum Disorder Algorithms Child, Preschool Female Databases, Factual Male
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