AIMC Topic: Algorithms

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Predicting CircRNA-Disease Associations via Feature Convolution Learning With Heterogeneous Graph Attention Network.

IEEE journal of biomedical and health informatics Jun 5, 2023
Exploring the relationship between circular RNA (circRNA) and disease is beneficial for revealing the mechanisms of disease pathogenesis. However, a blind search for all possible associations between circRNAs and diseases through biological experimen...
Neural Networks, Computer Algorithms Humans Computational Biology RNA, Circular Forecasting
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A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.

IEEE journal of biomedical and health informatics Jun 5, 2023
The axial field of view (FOV) is a key factor that affects the quality of PET images. Due to hardware FOV restrictions, conventional short-axis PET scanners with FOVs of 20 to 35 cm can acquire only low-quality PET (LQ-PET) images in fast scanning ti...
Electric Power Supplies Humans Neural Networks, Computer Algorithms Positron-Emission Tomography
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Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets.

IEEE journal of biomedical and health informatics Jun 5, 2023
The increasing prevalence of chronic non-communicable diseases makes it a priority to develop tools for enhancing their management. On this matter, Artificial Intelligence algorithms have proven to be successful in early diagnosis, prediction and ana...
Humans Artificial Intelligence Benchmarking Supervised Machine Learning Machine Learning Algorithms
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CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
Recent advancements of artificial intelligence based on deep learning algorithms have made it possible to computationally predict compound-protein interaction (CPI) without conducting laboratory experiments. In this manuscript, we integrated a graph ...
Algorithms Neural Networks, Computer Humans Animals Proteins Artificial Intelligence Caenorhabditis elegans
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BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
In silico machine learning based prediction of drug functions considering the drug properties would substantially enhance the speed and reduce the cost of identifying promising drug leads. The drug function prediction capability of different drug pro...
Machine Learning Algorithms Neural Networks, Computer Drug Discovery Amino Acid Sequence
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A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
The "curse of dimensionality" brings new challenges to the feature selection (FS) problem, especially in bioinformatics filed. In this paper, we propose a hybrid Two-Stage Teaching-Learning-Based Optimization (TS-TLBO) algorithm to improve the perfor...
Machine Learning Algorithms Computational Biology
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Noise power spectrum properties of deep learning-based reconstruction and iterative reconstruction algorithms: Phantom and clinical study.

European journal of radiology Jun 4, 2023
PURPOSE: To compare the noise power spectrum (NPS) properties and perform a qualitative analysis of hybrid iterative reconstruction (IR), model-based IR (MBIR), and deep learning-based reconstruction (DLR) at a similar noise level in clinical study a...
Humans Radiation Dosage Deep Learning Algorithms Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Physical Examination Tomography, X-Ray Computed
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Pro: Can We Use Artificial Intelligence-Derived Algorithms to Guide Patient Blood Management Decision-Making?

Journal of cardiothoracic and vascular anesthesia Jun 3, 2023
Algorithms Blood Transfusion Humans Artificial Intelligence
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Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.

Journal of biomedical informatics Jun 3, 2023
OBJECTIVE: To determine whether graph neural network based models of electronic health records can predict specialty consultation care needs for endocrinology and hematology more accurately than the standard of care checklists and other conventional ...
Referral and Consultation Hematology Endocrinology Algorithms Electronic Health Records Neural Networks, Computer Humans
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Noise reduction performance of a deep learning-based reconstruction in brain computed tomography images acquired with organ-based tube current modulation.

Physical and engineering sciences in medicine Jun 2, 2023
We aimed to evaluate the image quality of brain computed tomography (CT) images reconstructed using deep learning-based reconstruction (DLR) in organ-based tube current modulation (OB-TCM) acquisition. An anthropomorphic head phantom and a cylindrica...
Deep Learning Radiation Dosage Tomography, X-Ray Computed Phantoms, Imaging Algorithms
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