AIMC Topic: Data Curation

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Using distant supervision to augment manually annotated data for relation extraction.

PloS one Jul 30, 2019
Significant progress has been made in applying deep learning on natural language processing tasks recently. However, deep learning models typically require a large amount of annotated training data while often only small labeled datasets are availabl...
Data Curation Humans Deep Learning Models, Theoretical Natural Language Processing Data Mining
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Phenotype annotation with the ontology of microbial phenotypes (OMP).

Journal of biomedical semantics Jul 15, 2019
BACKGROUND: Microbial genetics has formed a foundation for understanding many aspects of biology. Systematic annotation that supports computational data mining should reveal further insights for microbes, microbiomes, and conserved functions beyond m...
Biological Ontologies Data Curation Microbiology Phenotype Metadata
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Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks.

Sensors (Basel, Switzerland) Jul 13, 2019
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training. We complemented the Laerdal QCPR ResusciAnne manikin with the Multimodal Tutor for CPR, a multi-sensor system c...
Data Curation Cardiopulmonary Resuscitation Manikins Education, Medical Databases, Factual Thorax Humans Equipment Design Surveys and Questionnaires Neural Networks, Computer Body Weight Computer-Assisted Instruction Posture Information Storage and Retrieval
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Domain transformation on biological event extraction by learning methods.

Journal of biomedical informatics Jun 18, 2019
Event extraction and annotation has become a significant focus of recent efforts in biological text mining and information extraction (IE). However, event extraction, event annotation methods, and resources have so far focused almost exclusively on a...
Deep Learning Gene Regulatory Networks Natural Language Processing Databases, Factual Animals Data Curation Models, Biological Data Mining
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Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning.

Cancer medicine May 10, 2019
To develop a deep learning system based on 3D convolutional neural networks (CNNs), and to automatically predict EGFR-mutant pulmonary adenocarcinoma in CT images. A dataset of 579 nodules with EGFR mutation status labels of mutant (Mut) or wild-type...
Mutation ErbB Receptors Data Curation Computational Biology Neoplasm Staging Adenocarcinoma of Lung Female Reproducibility of Results Neural Networks, Computer Male Algorithms Deep Learning Tomography, X-Ray Computed ROC Curve Humans Image Processing, Computer-Assisted
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A Generic Human-Machine Annotation Framework Based on Dynamic Cooperative Learning.

IEEE transactions on cybernetics Mar 14, 2019
The task of obtaining meaningful annotations is a tedious work, incurring considerable costs and time consumption. Dynamic active learning and cooperative learning are recently proposed approaches to reduce human effort of annotating data with subjec...
Man-Machine Systems Young Adult Databases, Factual Adult Humans Middle Aged Female Male Algorithms Reproducibility of Results Supervised Machine Learning Data Curation
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Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition.

Journal of biomedical informatics Feb 25, 2019
Clinical named entity recognition aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translational research...
Humans Neural Networks, Computer Natural Language Processing Data Curation Electronic Health Records Language Deep Learning
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MCN: A comprehensive corpus for medical concept normalization.

Journal of biomedical informatics Feb 22, 2019
Normalization of clinical text involves linking different ways of talking about the same clinical concept to the same term in the standardized vocabulary. To date, very few annotated corpora for normalization have been available, and existing corpora...
Humans Information Storage and Retrieval Vocabulary, Controlled Electronic Health Records Data Curation Natural Language Processing
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Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology.

IEEE transactions on medical imaging Feb 14, 2019
A major challenge in the field of segmentation in digital pathology is given by the high effort for manual data annotations in combination with many sources introducing variability in the image domain. This requires methods that are able to cope with...
Humans Machine Learning Image Processing, Computer-Assisted Kidney Histocytochemistry Data Curation
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MAIA-A machine learning assisted image annotation method for environmental monitoring and exploration.

PloS one Nov 16, 2018
Digital imaging has become one of the most important techniques in environmental monitoring and exploration. In the case of the marine environment, mobile platforms such as autonomous underwater vehicles (AUVs) are now equipped with high-resolution c...
Data Curation Oceans and Seas Databases, Factual Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Environmental Monitoring
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