AIMC Topic: Pattern Recognition, Automated

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Pattern classification of interstitial lung diseases from computed tomography images using a ResNet-based network with a split-transform-merge strategy and split attention.

Physical and engineering sciences in medicine Mar 4, 2024
In patients with interstitial lung disease (ILD), accurate pattern assessment from their computed tomography (CT) images could help track lung abnormalities and evaluate treatment efficacy. Based on excellent image classification performance, convolu...
Neural Networks, Computer Algorithms Humans Lung Diseases, Interstitial Pattern Recognition, Automated Tomography, X-Ray Computed Image Processing, Computer-Assisted
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PASTFNet: a paralleled attention spatio-temporal fusion network for micro-expression recognition.

Medical & biological engineering & computing Feb 28, 2024
Micro-expressions (MEs) play such an important role in predicting a person's genuine emotions, as to make micro-expression recognition such an important resea rch focus in recent years. Most recent researchers have made efforts to recognize MEs with ...
Attention Pattern Recognition, Automated Image Processing, Computer-Assisted Emotions Facial Expression Humans Neural Networks, Computer Algorithms
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An Explainable and Personalized Cognitive Reasoning Model Based on Knowledge Graph: Toward Decision Making for General Practice.

IEEE journal of biomedical and health informatics Feb 5, 2024
General practice plays a prominent role in primary health care (PHC). However, evidence has shown that the quality of PHC is still unsatisfactory, and the accuracy of clinical diagnosis and treatment must be improved in China. Decision making tools b...
General Practice Artificial Intelligence Humans Decision Making Cognition Pattern Recognition, Automated
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Explaining protein-protein interactions with knowledge graph-based semantic similarity.

Computers in biology and medicine Feb 1, 2024
The application of artificial intelligence and machine learning methods for several biomedical applications, such as protein-protein interaction prediction, has gained significant traction in recent decades. However, explainability is a key aspect of...
Artificial Intelligence Machine Learning Neural Networks, Computer Pattern Recognition, Automated Semantics
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Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly.

Nature Jan 17, 2024
Inspired by biology's most sophisticated computer, the brain, neural networks constitute a profound reformulation of computational principles. Analogous high-dimensional, highly interconnected computational architectures also arise within information...
Pattern Recognition, Automated Kinetics Microscopy, Atomic Force Microscopy, Fluorescence Neural Networks, Computer Computer Simulation DNA
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An effective framework for predicting drug-drug interactions based on molecular substructures and knowledge graph neural network.

Computers in biology and medicine Dec 29, 2023
Drug-drug interactions (DDIs) play a central role in drug research, as the simultaneous administration of multiple drugs can have harmful or beneficial effects. Harmful interactions lead to adverse reactions, some of which can be life-threatening, wh...
Neural Networks, Computer Drug Interactions Pattern Recognition, Automated Humans
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Design and Development of an Imitation Detection System for Human Action Recognition Using Deep Learning.

Sensors (Basel, Switzerland) Dec 18, 2023
Human action recognition (HAR) is a rapidly growing field with numerous applications in various domains. HAR involves the development of algorithms and techniques to automatically identify and classify human actions from video data. Accurate recognit...
Humans Imitative Behavior Deep Learning Neural Networks, Computer Pattern Recognition, Automated Algorithms
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A knowledge graph-based data harmonization framework for secondary data reuse.

Computer methods and programs in biomedicine Nov 10, 2023
BACKGROUND AND OBJECTIVE: The adoption of new technologies in clinical care systems has propitiated the availability of a great amount of valuable data. However, this data is usually heterogeneous, requiring its harmonization to be integrated and ana...
Pattern Recognition, Automated Data Management Semantics Knowledge Bases Machine Learning Delivery of Health Care
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Knowledge graph and CBR-based approach for automated analysis of bridge operational accidents: Case representation and retrieval.

PloS one Nov 7, 2023
Bridge operational accident analysis is a critical process in bridge operational risk management. It provides valuable knowledge support for responding to newly occurring accidents. However, there are three issues: (1) research specifically focused o...
Knowledge Risk Management Artificial Intelligence Pattern Recognition, Automated Problem Solving
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Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph.

STAR protocols Oct 25, 2023
Biomedical knowledge graphs (BKGs) provide a new paradigm for managing abundant biomedical knowledge efficiently. Today's artificial intelligence techniques enable mining BKGs to discover new knowledge. Here, we present a protocol for implementing a ...
Drug Repositioning Humans Pattern Recognition, Automated Parkinson Disease Artificial Intelligence
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