AIMC Topic: Ensemble Learning

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ToxSTK: A multi-target toxicity assessment utilizing molecular structure and stacking ensemble learning.

Computers in biology and medicine Dec 6, 2024
Drug registration requires risk assessment of new active pharmaceutical ingredients or excipients to ensure they are safe for human health and the environment. However, traditional risk assessment is expensive and relies heavily on animal testing. Ma...
Humans Toxicity Tests Animals Ensemble Learning Machine Learning Risk Assessment Quantitative Structure-Activity Relationship
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Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System.

IEEE journal of biomedical and health informatics Dec 5, 2024
4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of quantifying blood flow across the cardiovascular system. While practical use is limited by spatial resolution and image noise, incorporation of traine...
Imaging, Three-Dimensional Humans Cardiovascular System Ensemble Learning Machine Learning Magnetic Resonance Imaging Female Heart Male
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Construction of interpretable ensemble learning models for predicting bioaccumulation parameters of organic chemicals in fish.

Journal of hazardous materials Nov 20, 2024
Accurate prediction of bioaccumulation parameters is essential for assessing exposure, hazards, and risks of chemicals. However, the majority of prediction models on bioaccumulation parameters are individual models based on a single algorithm and lac...
Water Pollutants, Chemical Fishes Ensemble Learning Bioaccumulation Machine Learning Algorithms Animals Organic Chemicals Models, Theoretical
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Temporomandibular joint CBCT image segmentation via multi-view ensemble learning network.

Medical & biological engineering & computing Oct 28, 2024
Accurate segmentation of the temporomandibular joint (TMJ) from cone beam CT (CBCT) images holds significant clinical value for diagnosing temporomandibular joint osteoarthrosis (TMJOA) and related conditions. Convolutional neural network-based medic...
Algorithms Female Cone-Beam Computed Tomography Imaging, Three-Dimensional Image Processing, Computer-Assisted Temporomandibular Joint Disorders Humans Neural Networks, Computer Machine Learning Ensemble Learning Temporomandibular Joint
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A stroke prediction framework using explainable ensemble learning.

Computer methods in biomechanics and biomedical engineering Feb 21, 2024
The death of brain cells occurs when blood flow to a particular area of the brain is abruptly cut off, resulting in a stroke. Early recognition of stroke symptoms is essential to prevent strokes and promote a healthy lifestyle. FAST tests (looking fo...
ROC Curve Stroke Ensemble Learning Humans Machine Learning Risk Factors
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Predicting the composition of aroma components in Baijiu using hyperspectral imaging combined with a replication allocation strategy-enhanced stacked ensemble learning model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 15, 2025
Ester and acid aroma compounds are crucial components affecting the fragrance of Baijiu, and their composition can endow the Baijiu with a fruity, acidic, floral, or roasted aroma. This study aims to quantitatively detect the ester and acid content i...
Acids Hyperspectral Imaging Soy Foods Ensemble Learning Odorants Esters Machine Learning
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Neuroimaging pattern interactions for suicide risk in depression captured by ensemble learning over transcriptome-defined parcellation.

Progress in neuro-psychopharmacology & biological psychiatry Jun 20, 2025
BACKGROUND: For suicide in major depression disorder, it is urgent to seek for a reliable neuroimaging biomarker with interpretable links to molecular tissue signatures. Accordingly, we developed an ensemble learning scheme over transcriptome-defined...
Female Adult Male Humans Machine Learning Brain Ensemble Learning Suicide Magnetic Resonance Imaging Neuroimaging Middle Aged Depressive Disorder, Major Transcriptome
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Ensemble learning of deep CNN models and two stage level prediction of Cobb angle on surface topography in adolescents with idiopathic scoliosis.

Medical engineering & physics Jun 1, 2025
This study employs Convolutional Neural Networks (CNNs) as feature extractors with appended regression layers for the non-invasive prediction of Cobb Angle (CA) from Surface Topography (ST) scans in adolescents with Idiopathic Scoliosis (AIS). The ai...
Surface Properties Scoliosis Ensemble Learning Convolutional Neural Networks Adolescent Image Processing, Computer-Assisted Humans Neural Networks, Computer Female Male Deep Learning
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CT-DCENet: Deep EEG Denoising via CNN-Transformer-Based Dual-Stage Collaborative Ensemble Learning.

IEEE journal of biomedical and health informatics Jun 1, 2025
Electroencephalogram (EEG) artifact removal has been investigated for decades with the goal of reconstructing the clean signals for the subsequent EEG analysis. However, existing denoising methods still have limited capabilities to handle the highly ...
Artifacts Signal-To-Noise Ratio Humans Ensemble Learning Neural Networks, Computer Deep Learning Female Electroencephalography Adult Signal Processing, Computer-Assisted Male
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Predicting cardiovascular risk with hybrid ensemble learning and explainable AI.

Scientific reports May 23, 2025
Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring the importance of early and right risk prediction for effective preventive measures and therapeutic approaches. This study proposes an innovative hybri...
Cardiovascular Diseases Neural Networks, Computer Risk Assessment Heart Disease Risk Factors Machine Learning Humans ROC Curve Risk Factors Ensemble Learning
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