AIMC Topic: Knowledge Bases
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A knowledge-based intensity-modulated radiation therapy treatment planning technique for locally advanced nasopharyngeal carcinoma radiotherapy.
Radiation oncology (London, England)
Aug 3, 2020
BACKGROUND: To investigate the feasibility of a knowledge-based automated intensity-modulated radiation therapy (IMRT) planning technique for locally advanced nasopharyngeal carcinoma (NPC) radiotherapy.
BIOINTMED: integrated biomedical knowledge base with ontologies and clinical trials.
Medical & biological engineering & computing
Jul 24, 2020
Biomedical data are complex and heterogeneous. An ample reliable quantity of data is important for understanding and exploring the domain. The work aims to integrate biomedical data from various heterogeneous sources like dictionaries or corpus and a...
BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint.
BMC bioinformatics
Jul 23, 2020
BACKGROUND: Managing and organizing biological knowledge remains a major challenge, due to the complexity of living systems. Recently, systemic representations have been promising in tackling such a challenge at the whole-cell scale. In such represen...
Indoor location identification of patients for directing virtual care: An AI approach using machine learning and knowledge-based methods.
Artificial intelligence in medicine
Jul 21, 2020
In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal for supporting many virtual care services-such as tailoring educational content towards an individual's current location, and, hence, current stage i...
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...
Building a PubMed knowledge graph.
Scientific data
Jun 26, 2020
PubMed is an essential resource for the medical domain, but useful concepts are either difficult to extract or are ambiguous, which has significantly hindered knowledge discovery. To address this issue, we constructed a PubMed knowledge graph (PKG) b...
A Knowledge-Based Machine Learning Approach to Gene Prioritisation in Amyotrophic Lateral Sclerosis.
Genes
Jun 19, 2020
Amyotrophic lateral sclerosis is a neurodegenerative disease of the upper and lower motor neurons resulting in death from neuromuscular respiratory failure, typically within two to five years of first symptoms. Several rare disruptive gene variants h...
A gentle introduction to deep learning for graphs.
Neural networks : the official journal of the International Neural Network Society
Jun 11, 2020
The adaptive processing of graph data is a long-standing research topic that has been lately consolidated as a theme of major interest in the deep learning community. The snap increase in the amount and breadth of related research has come at the pri...
Using Reactome to build an autophagy mechanism knowledgebase.
Autophagy
Jun 2, 2020
The 21st century has revealed much about the fundamental cellular process of autophagy. Autophagy controls the catabolism and recycling of various cellular components both as a constitutive process and as a response to stress and foreign material inv...
Developing knowledge-based planning for gynaecological and rectal cancers: a clinical validation of RapidPlan.
Journal of medical radiation sciences
May 25, 2020
INTRODUCTION: To create and clinically validate knowledge-based planning (KBP) models for gynaecologic (GYN) and rectal cancer patients. Assessment of ecologic generalisability and predictive validity of conventional planning versus single calculatio...
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