AIMC Topic:
Semantics

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Semantic image segmentation of brain MRI with deep learning.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Aug 28, 2021
OBJECTIVES: Previous studies on brain MRI image segmentation, such as threshold method, boundary detection method, and region method did not achieve good performance in complex scenes. Based on the deep learning segmentation technology, this study co...
Neural Networks, Computer Magnetic Resonance Imaging Semantics Brain Deep Learning
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PharmKG: a dedicated knowledge graph benchmark for bomedical data mining.

Briefings in bioinformatics Jul 20, 2021
Biomedical knowledge graphs (KGs), which can help with the understanding of complex biological systems and pathologies, have begun to play a critical role in medical practice and research. However, challenges remain in their embedding and use due to ...
Benchmarking Software Semantics Humans Data Mining Biomedical Research Neural Networks, Computer
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Semantic similarity and machine learning with ontologies.

Briefings in bioinformatics Jul 20, 2021
Ontologies have long been employed in the life sciences to formally represent and reason over domain knowledge and they are employed in almost every major biological database. Recently, ontologies are increasingly being used to provide background kno...
Machine Learning Biological Ontologies Models, Biological Semantics
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Deep-learning-based automated terminology mapping in OMOP-CDM.

Journal of the American Medical Informatics Association : JAMIA Jul 14, 2021
OBJECTIVE: Accessing medical data from multiple institutions is difficult owing to the interinstitutional diversity of vocabularies. Standardization schemes, such as the common data model, have been proposed as solutions to this problem, but such sch...
Algorithms Language Humans Deep Learning Semantics
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Machine Scoring of Medical Students' Written Clinical Reasoning: Initial Validity Evidence.

Academic medicine : journal of the Association of American Medical Colleges Jul 1, 2021
PURPOSE: Developing medical students' clinical reasoning requires a structured longitudinal curriculum with frequent targeted assessment and feedback. Performance-based assessments, which have the strongest validity evidence, are currently not feasib...
Curriculum Workplace Educational Measurement Academic Medical Centers Clinical Reasoning Faculty Semantics Illinois Writing Reproducibility of Results Algorithms Students, Medical Research Design Communication Humans Machine Learning
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Towards a Semantic Data Harmonization Federated Infrastructure.

Studies in health technology and informatics May 27, 2021
Data integration is an increasing need in medical informatics projects like the EU Precise4Q project, in which multidisciplinary semantically and syntactically heterogeneous data across several institutions needs to be integrated. Besides, data shari...
Biological Ontologies Databases, Factual Semantics Systematized Nomenclature of Medicine Medical Informatics
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Patient and Graph Embeddings for Predictive Diagnosis of Drug Iatrogenesis.

Studies in health technology and informatics May 27, 2021
In the context of the IA.TROMED project we intend to develop and evaluate original algorithmic methods that will rely on semantic enrichment of embeddings by combining new deep learning algorithms, such as models founded on transformers, and symbolic...
Semantics Humans Pharmaceutical Preparations Knowledge Bases Artificial Intelligence Algorithms
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Semantic Anomaly Detection in Medical Time Series.

Studies in health technology and informatics May 24, 2021
The main goal of this project was to define and evaluate a new unsupervised deep learning approach that can differentiate between normal and anomalous intervals of signals like the electrical activity of the heart (ECG). Denoising autoencoders based ...
Spatial Analysis Semantics Cluster Analysis Heart Neural Networks, Computer
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A representation model for biological entities by fusing structured axioms with unstructured texts.

Bioinformatics (Oxford, England) May 23, 2021
MOTIVATION: Structured semantic resources, for example, biological knowledge bases and ontologies, formally define biological concepts, entities and their semantic relationships, manifested as structured axioms and unstructured texts (e.g. textual de...
Machine Learning Software Semantics Humans Language Knowledge Bases
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Enriching contextualized language model from knowledge graph for biomedical information extraction.

Briefings in bioinformatics May 20, 2021
Biomedical information extraction (BioIE) is an important task. The aim is to analyze biomedical texts and extract structured information such as named entities and semantic relations between them. In recent years, pre-trained language models have la...
Neural Networks, Computer Semantics Natural Language Processing Data Mining
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