AIMC Topic: Neural Networks, Computer

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STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: We aim to develop a hybrid model for earlier and more accurate predictions for the number of infected cases in pandemics by (1) using patients' claims data from different counties and states that capture local disease status and medical re...
Models, Statistical Epidemiologic Methods Deep Learning United States Pandemics COVID-19 Humans Neural Networks, Computer
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The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...
Neural Networks, Computer Machine Learning Humans Black or African American Racism Influenza, Human Influenza Vaccines Datasets as Topic Support Vector Machine Social Media
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Application of Bayesian networks to generate synthetic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: This study seeks to develop a fully automated method of generating synthetic data from a real dataset that could be employed by medical organizations to distribute health data to researchers, reducing the need for access to real data. We h...
Datasets as Topic Data Anonymization Information Dissemination Data Management Bayes Theorem Confidentiality Disclosure Machine Learning Humans Neural Networks, Computer
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Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method.

Mathematical biosciences and engineering : MBE Mar 17, 2021
The paper considers the problem of handling short sets of medical data. Effectively solving this problem will provide the ability to solve numerous classification and regression tasks in case of limited data in health decision support systems. Many s...
Algorithms Clinical Medicine Neural Networks, Computer Artificial Intelligence
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Protein sequence design by conformational landscape optimization.

Proceedings of the National Academy of Sciences of the United States of America Mar 16, 2021
The protein design problem is to identify an amino acid sequence that folds to a desired structure. Given Anfinsen's thermodynamic hypothesis of folding, this can be recast as finding an amino acid sequence for which the desired structure is the lowe...
Protein Folding Neural Networks, Computer Proteins Protein Conformation Thermodynamics Models, Molecular
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Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks.

Journal of radiation research Mar 10, 2021
The aim of this study was to develop an automated segmentation approach for small gross tumor volumes (GTVs) in 3D planning computed tomography (CT) images using dense V-networks (DVNs) that offer more advantages in segmenting smaller structures than...
Neural Networks, Computer Humans Algorithms Aged Aged, 80 and over Tomography, X-Ray Computed Female Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Middle Aged Adult Male Tumor Burden Automation Radiosurgery
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Infection curves on small-world networks are linear only in the vicinity of the critical point.

Proceedings of the National Academy of Sciences of the United States of America Mar 9, 2021
Nerve Net Neural Networks, Computer
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Learning Retention Mechanisms and Evolutionary Parameters of Duplicate Genes from Their Expression Data.

Molecular biology and evolution Mar 9, 2021
Learning about the roles that duplicate genes play in the origins of novel phenotypes requires an understanding of how their functions evolve. A previous method for achieving this goal, CDROM, employs gene expression distances as proxies for function...
Gene Expression Gene Duplication Drosophila Models, Genetic Evolution, Molecular Software Animals Neural Networks, Computer
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Oscillation-Driven Memory Encoding, Maintenance, and Recall in an Entorhinal-Hippocampal Circuit Model.

Cerebral cortex (New York, N.Y. : 1991) Mar 5, 2021
During the execution of working memory tasks, task-relevant information is processed by local circuits across multiple brain regions. How this multiarea computation is conducted by the brain remains largely unknown. To explore such mechanisms in spat...
Spatial Memory Theta Rhythm Neural Networks, Computer Animals Mental Recall Entorhinal Cortex Hippocampus Rats Memory, Short-Term
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Sequence representation approaches for sequence-based protein prediction tasks that use deep learning.

Briefings in functional genomics Mar 2, 2021
Deep learning has been increasingly used in bioinformatics, especially in sequence-based protein prediction tasks, as large amounts of biological data are available and deep learning techniques have been developed rapidly in recent years. For sequenc...
Neural Networks, Computer Deep Learning Amino Acid Sequence Computational Biology Proteins
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