AIMC Topic: Semantic Web
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Toward a systematic conflict resolution framework for ontologies.
Journal of biomedical semantics
Aug 9, 2021
BACKGROUND: The ontology authoring step in ontology development involves having to make choices about what subject domain knowledge to include. This may concern sorting out ontological differences and making choices between conflicting axioms due to ...
Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks.
Neural networks : the official journal of the International Neural Network Society
Jan 22, 2021
As deep neural net architectures minimize loss, they accumulate information in a hierarchy of learned representations that ultimately serve the network's final goal. Different architectures tackle this problem in slightly different ways, but all crea...
Robust facial landmark detection by cross-order cross-semantic deep network.
Neural networks : the official journal of the International Neural Network Society
Nov 16, 2020
Recently, convolutional neural networks (CNNs)-based facial landmark detection methods have achieved great success. However, most of existing CNN-based facial landmark detection methods have not attempted to activate multiple correlated facial parts ...
Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook.
Yearbook of medical informatics
Aug 21, 2020
OBJECTIVE: To select, present, and summarize the best papers in the field of Knowledge Representation and Management (KRM) published in 2019.
A knowledge-based system to find over-the-counter medicines for self-medication.
Journal of biomedical informatics
Jul 14, 2020
This study developed a medicine query system based on Semantic Web and open data especially for self-medication users to search over-the-counter (OTC) medicines. Most existing medicine query systems are based on keyword searches. If users are uncerta...
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation.
Neural networks : the official journal of the International Neural Network Society
Feb 25, 2020
Electro-stimulation or modulation of deep brain regions is commonly used in clinical procedures for the treatment of several nervous system disorders. In particular, transcranial direct current stimulation (tDCS) is widely used as an affordable clini...
Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: There exists a communication gap between the biomedical informatics community on one side and the computer science/artificial intelligence community on the other side regarding the meaning of the terms "semantic integration" and "knowledg...
The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques.
Medical physics
Aug 24, 2018
PURPOSE: Personalized medicine is expected to yield improved health outcomes. Data mining over massive volumes of patients' clinical data is an appealing, low-cost and noninvasive approach toward personalization. Machine learning algorithms could be ...
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Electronic Health Records are electronic data generated during or as a byproduct of routine patient care. Structured, semi-structured and unstructured EHR offer researchers unprecedented phenotypic breadth and depth and have the potential to accelera...
Prediction of venous thromboembolism using semantic and sentiment analyses of clinical narratives.
Computers in biology and medicine
Jan 3, 2018
Venous thromboembolism (VTE) is the third most common cardiovascular disorder. It affects people of both genders at ages as young as 20 years. The increased number of VTE cases with a high fatality rate of 25% at first occurrence makes preventive mea...
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