AIMC Topic: Neural Networks, Computer

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A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Heart sound analysis plays an important role in early detecting heart disease. However, manual detection requires doctors with extensive clinical experience, which increases uncertainty for the task, especially in medically underdeveloped areas. This...
Algorithms Humans Heart Sounds Sound Spectrography Deep Learning Neural Networks, Computer Fourier Analysis Signal Processing, Computer-Assisted
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Hierarchical Graph Capsule Networks for Molecular Function Classification With Disentangled Representations.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
In biochemistry, graph structures have been widely used for modeling compounds, proteins, functional interactions, etc. A common task that divides these graphs into different categories, known as graph classification, highly relies on the quality of ...
Computational Biology Neural Networks, Computer Proteins Algorithms
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A YOLOX-Based Deep Instance Segmentation Neural Network for Cardiac Anatomical Structures in Fetal Ultrasound Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Echocardiography is an essential procedure for the prenatal examination of the fetus for congenital heart disease (CHD). Accurate segmentation of key anatomical structures in a four-chamber view is an essential step in measuring fetal growth paramete...
Heart Defects, Congenital Fetal Heart Humans Neural Networks, Computer Algorithms Ultrasonography, Prenatal Pregnancy Deep Learning Female Image Interpretation, Computer-Assisted Echocardiography
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Graph Embedded Ensemble Deep Randomized Network for Diagnosis of Alzheimer's Disease.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Randomized shallow/deep neural networks with closed form solution avoid the shortcomings that exist in the back propagation (BP) based trained neural networks. Ensemble deep random vector functional link (edRVFL) network utilize the strength of two g...
Databases, Factual Diagnosis, Computer-Assisted Deep Learning Computational Biology Alzheimer Disease Humans Neural Networks, Computer Algorithms
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Predicting Drug-Target Interactions Via Dual-Stream Graph Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Drug target interaction prediction is a crucial stage in drug discovery. However, brute-force search over a compound database is financially infeasible. We have witnessed the increasing measured drug-target interactions records in recent years, and t...
Computational Biology Proteins Pharmaceutical Preparations Algorithms Humans Drug Discovery Neural Networks, Computer Deep Learning
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Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and safety and deep learning (DL) is expected to be the most powerful method for efficient detection of COVID-19. However, patients' privacy concerns prohibit data shari...
Radiography, Thoracic Lung Deep Learning Computational Biology Algorithms SARS-CoV-2 Humans Neural Networks, Computer COVID-19
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Ensemble Deep Random Vector Functional Link Network Using Privileged Information for Alzheimer's Disease Diagnosis.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Alzheimer's disease (AD) is a progressive brain disorder. Machine learning models have been proposed for the diagnosis of AD at early stage. Recently, deep learning architectures have received quite a lot attention. Most of the deep learning architec...
Alzheimer Disease Deep Learning Computational Biology Humans Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted
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IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network.

Journal of advanced research Aug 7, 2024
INTRODUCTION: Immune checkpoint inhibitors (ICIs) are potent and precise therapies for various cancer types, significantly improving survival rates in patients who respond positively to them. However, only a minority of patients benefit from ICI trea...
Humans Neural Networks, Computer Tumor Microenvironment Immunotherapy Treatment Outcome Graph Neural Networks Neoplasms Deep Learning Immune Checkpoint Inhibitors
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Predicting Disease-Metabolite Associations Based on the Metapath Aggregation of Tripartite Heterogeneous Networks.

Interdisciplinary sciences, computational life sciences Aug 7, 2024
The exploration of the interactions between diseases and metabolites holds significant implications for the diagnosis and treatment of diseases. However, traditional experimental methods are time-consuming and costly, and current computational method...
Humans Neural Networks, Computer Algorithms Deep Learning Computational Biology
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Exploring the accuracy of tooth loss prediction between a clinical periodontal prognostic system and a machine learning prognostic model.

Journal of clinical periodontology Aug 7, 2024
AIM: The aim of this analysis was to compare a clinical periodontal prognostic system and a developed and externally validated artificial intelligence (AI)-based model for the prediction of tooth loss in periodontitis patients under supportive period...
Humans Neural Networks, Computer Machine Learning Periodontitis Tooth Loss Male Aged Middle Aged Adult Cohort Studies Prognosis Sensitivity and Specificity Logistic Models Female Predictive Value of Tests
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