AIMC Topic: Metadata

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Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis.

Journal of medical Internet research Apr 22, 2022
BACKGROUND: Advances in biomedical research using deep learning techniques have generated a large volume of related literature. However, there is a lack of scientometric studies that provide a bird's-eye view of them. This absence has led to a partia...
Bibliometrics Publications Metadata Biomedical Research Deep Learning Humans Neural Networks, Computer
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Musical Instrument Identification Using Deep Learning Approach.

Sensors (Basel, Switzerland) Apr 15, 2022
The work aims to propose a novel approach for automatically identifying all instruments present in an audio excerpt using sets of individual convolutional neural networks (CNNs) per tested instrument. The paper starts with a review of tasks related t...
Neural Networks, Computer Metadata Algorithms Deep Learning
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Assessment of the predictive potential of cognitive scores from retinal images and retinal fundus metadata via deep learning using the CLSA database.

Scientific reports Apr 6, 2022
Accumulation of beta-amyloid in the brain and cognitive decline are considered hallmarks of Alzheimer's disease. Knowing from previous studies that these two factors can manifest in the retina, the aim was to investigate whether a deep learning metho...
Longitudinal Studies Deep Learning Fundus Oculi Canada Metadata Cognition
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The BMS-LM ontology for biomedical data reporting throughout the lifecycle of a research study: From data model to ontology.

Journal of biomedical informatics Feb 4, 2022
Biomedical research data reuse and sharing is essential for fostering research progress. To this aim, data producers need to master data management and reporting through standard and rich metadata, as encouraged by open data initiatives such as the F...
Research Design Biomedical Research Semantics Biological Ontologies Data Curation Animals Metadata
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Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment.

PLoS computational biology Sep 22, 2021
HIV molecular epidemiology estimates the transmission patterns from clustering genetically similar viruses. The process involves connecting genetically similar genotyped viral sequences in the network implying epidemiological transmissions. This tech...
Metadata Cluster Analysis Feasibility Studies Humans Machine Learning Algorithms HIV Infections
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An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification.

IEEE journal of biomedical and health informatics Sep 3, 2021
Computer-aided skin cancer classification systems built with deep neural networks usually yield predictions based only on images of skin lesions. Despite presenting promising results, it is possible to achieve higher performance by taking into accoun...
Humans Neural Networks, Computer Metadata Skin Neoplasms Dermoscopy Deep Learning
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Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.

Nature biomedical engineering Jun 15, 2021
Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning models can be used to identify chronic kidn...
Photography Body Height Image Interpretation, Computer-Assisted Metadata Body Weight Retina Diabetes Mellitus, Type 2 Humans Renal Insufficiency, Chronic Neural Networks, Computer Glomerular Filtration Rate Prospective Studies Body Mass Index Female Area Under Curve Deep Learning Male Fundus Oculi Middle Aged Blood Glucose Disease Progression ROC Curve
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Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation.

JMIR public health and surveillance Mar 16, 2021
BACKGROUND: Social media are important for monitoring perceptions of public health issues and for educating target audiences about health; however, limited information about the demographics of social media users makes it challenging to identify conv...
Models, Psychological Reproducibility of Results Age Factors Young Adult Middle Aged Adult Social Media Humans Adolescent Metadata Machine Learning Algorithms
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A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability.

The Lancet. Digital health Oct 1, 2020
Health data that are publicly available are valuable resources for digital health research. Several public datasets containing ophthalmological imaging have been frequently used in machine learning research; however, the total number of datasets cont...
Eye Diseases Diagnostic Imaging Humans Ophthalmology Metadata Databases, Factual Datasets as Topic
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Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive.

F1000Research May 19, 2020
The Sequence Read Archive (SRA) is a large public repository that stores raw next-generation sequencing data from thousands of diverse scientific investigations.  Despite its promise, reuse and re-analysis of SRA data has been challenged by the heter...
Datasets as Topic Metadata Humans Biological Ontologies Software RNA-Seq Case-Control Studies High-Throughput Nucleotide Sequencing
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