AIMC Topic: Algorithms

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Machine Learning-Driven Classification of Urease Inhibitors Leveraging Physicochemical Properties as Effective Filter Criteria.

International journal of molecular sciences Apr 13, 2024
Urease, a pivotal enzyme in nitrogen metabolism, plays a crucial role in various microorganisms, including the pathogenic . Inhibiting urease activity offers a promising approach to combating infections and associated ailments, such as chronic kidney...
Humans Helicobacter pylori Machine Learning Enzyme Inhibitors Algorithms Urease
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Mixing neural networks, continuation and symbolic computation to solve parametric systems of non linear equations.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2024
We consider a square non linear parametric equations system F(P,X) = 0 which is constituted of n non differential equations in the n unknowns {x,…,x} that are the components of X while P={p,…,p} is a set of m parameters that play a role in the defini...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics Machine Learning Algorithms
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Early identification of autism spectrum disorder based on machine learning with eye-tracking data.

Journal of affective disorders Apr 12, 2024
BACKGROUND: Early identification of autism spectrum disorder (ASD) improves long-term outcomes, yet significant diagnostic delays persist.
Child Support Vector Machine Social Cognition Early Diagnosis Eye Movements Child, Preschool Male Eye-Tracking Technology Algorithms Prospective Studies Retrospective Studies Humans Female Machine Learning Autism Spectrum Disorder
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Automated melanoma detection. An algorithm inspired from human intelligence characterizing disordered pattern of melanocytic lesions improving a convolutional neural network.

Journal of the American Academy of Dermatology Apr 12, 2024
Skin Neoplasms Dermoscopy Algorithms Humans Melanoma Neural Networks, Computer
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MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2024
Regularized multi-task learning (RMTL) has shown good performance in tackling multi-task binary problems. Although RMTL can be used to handle multi-class problems based on "one-versus-one" and "one-versus-rest" techniques, the information of the samp...
Support Vector Machine Humans Algorithms
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A survey of label-noise deep learning for medical image analysis.

Medical image analysis Apr 12, 2024
Several factors are associated with the success of deep learning. One of the most important reasons is the availability of large-scale datasets with clean annotations. However, obtaining datasets with accurate labels in the medical imaging domain is ...
Humans Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Algorithms Reproducibility of Results
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Predictive modeling of deep vein thrombosis risk in hospitalized patients: A Q-learning enhanced feature selection model.

Computers in biology and medicine Apr 12, 2024
Deep vein thrombosis (DVT) represents a critical health concern due to its potential to lead to pulmonary embolism, a life-threatening complication. Early identification and prediction of DVT are crucial to prevent thromboembolic events and implement...
Venous Thrombosis Risk Assessment Support Vector Machine Hospitalization Female Humans Male Adult Aged Risk Factors Algorithms Middle Aged
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An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection.

Computer methods and programs in biomedicine Apr 12, 2024
BACKGROUND AND OBJECTIVE: Mechanical ventilation is a life-saving treatment for critically-ill patients. During treatment, patient-ventilator asynchrony (PVA) can occur, which can lead to pulmonary damage, complications, and higher mortality. While t...
Humans Machine Learning Computer Simulation Respiration, Artificial Algorithms
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Multi-objective location-routing optimization based on machine learning for green municipal waste management.

Waste management (New York, N.Y.) Apr 12, 2024
Most of the existing municipal waste management (MWM) systems focus on the optimization of the waste disposal center locations and waste collection paths, which can be modeled based on the location-routing problem (LRP). This study models a green MWM...
Beijing Refuse Disposal Models, Theoretical Algorithms Waste Management Cities Machine Learning
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AI-driven design of customized 3D-printed multi-layer capsules with controlled drug release profiles for personalized medicine.

International journal of pharmaceutics Apr 12, 2024
Personalized medicine aims to effectively and efficiently provide customized drugs that cater to diverse populations, which is a significant yet challenging task. Recently, the integration of artificial intelligence (AI) and three-dimensional (3D) pr...
Printing, Three-Dimensional Drug Liberation Drug Compounding Algorithms Precision Medicine Delayed-Action Preparations Isoniazid Acetaminophen Capsules Technology, Pharmaceutical Artificial Intelligence
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