AIMC Topic: Data Curation

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FlyIT: Drosophila Embryogenesis Image Annotation based on Image Tiling and Convolutional Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
With the rise of image-based transcriptomics, spatial gene expression data has become increasingly important for understanding gene regulations from the tissue level down to the cell level. Especially, the gene expression images of Drosophila embryos...
Neural Networks, Computer Algorithms Embryo, Nonmammalian Animals Data Curation Drosophila Image Processing, Computer-Assisted Computational Biology Embryonic Development
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Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Information extraction (IE), the distillation of specific information from unstructured data, is a core task in natural language processing. For rare entities (<1% prevalence), collection of positive examples required to train a model may require an ...
Data Mining Data Curation Humans Natural Language Processing
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[A brief history of artificial intelligence].

Medecine sciences : M/S Nov 5, 2020
For more than a decade, we have witnessed an acceleration in the development and the adoption of artificial intelligence (AI) technologies. In medicine, it impacts clinical and fundamental research, hospital practices, medical examinations, hospital ...
Humans Artificial Intelligence Software Knowledge History, 19th Century Data Interpretation, Statistical History, 21st Century Forecasting Comprehension Data Analysis Computer Simulation History, 20th Century Data Curation Algorithms Deep Learning
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Application of BERT to Enable Gene Classification Based on Clinical Evidence.

BioMed research international Oct 7, 2020
The identification of profiled cancer-related genes plays an essential role in cancer diagnosis and treatment. Based on literature research, the classification of genetic mutations continues to be done manually nowadays. Manual classification of gene...
Genes, Neoplasm Algorithms Biomedical Research Neoplasms Deep Learning Computational Biology Humans Data Curation
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CM-supplement network model for reducing the memory consumption during multilabel image annotation.

PloS one Jun 1, 2020
With the rapid development of the Internet and the increasing popularity of mobile devices, the availability of digital image resources is increasing exponentially. How to rapidly and effectively retrieve and organize image information has been a hot...
Image Processing, Computer-Assisted Models, Theoretical Data Curation Neural Networks, Computer
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Using FHIR to Construct a Corpus of Clinical Questions Annotated with Logical Forms and Answers.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
This paper describes a novel technique for annotating logical forms and answers for clinical questions by utilizing Fast Healthcare Interoperability Resources (FHIR). Such annotations are widely used in building the semantic parsing models (which aim...
Health Information Interoperability Data Curation Natural Language Processing Humans Datasets as Topic Electronic Health Records Semantics
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Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification.

IEEE journal of biomedical and health informatics Jan 16, 2020
Existing multi-label medical image learning tasks generally contain rich relationship information among pathologies such as label co-occurrence and interdependency, which is of great importance for assisting in clinical diagnosis and can be represent...
Data Curation Radiography, Thoracic Thorax Humans Neural Networks, Computer Databases, Factual Lung Diseases Image Interpretation, Computer-Assisted
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PGxCorpus, a manually annotated corpus for pharmacogenomics.

Scientific data Jan 2, 2020
Pharmacogenomics (PGx) studies how individual gene variations impact drug response phenotypes, which makes PGx-related knowledge a key component towards precision medicine. A significant part of the state-of-the-art knowledge in PGx is accumulated in...
Humans Pharmacogenetics Supervised Machine Learning PubMed Data Curation
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Improving clinical named entity recognition in Chinese using the graphical and phonetic feature.

BMC medical informatics and decision making Dec 23, 2019
BACKGROUND: Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and ...
Language Natural Language Processing Semantics Data Curation Humans Phonetics Machine Learning Electronic Health Records
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An interpretable natural language processing system for written medical examination assessment.

Journal of biomedical informatics Aug 14, 2019
OBJECTIVE: The assessment of written medical examinations is a tedious and expensive process, requiring significant amounts of time from medical experts. Our objective was to develop a natural language processing (NLP) system that can expedite the as...
Licensure, Medical Schools, Medical Educational Measurement Fuzzy Logic Natural Language Processing Humans Reproducibility of Results Unified Medical Language System Clinical Competence Medical Records Software Data Collection Algorithms Data Curation Education, Medical Pattern Recognition, Automated
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