Healthcare Knowledge Graph Structure
Listing Websites about Healthcare Knowledge Graph Structure
Knowledge Graph-Enabled Cancer Data Analytics - PMC
(3 days ago) WEBTo show the benefits of dynamic data integration and query generalization, we created another knowledge graph with Kentucky Cancer Registry’s (KCR) CTC data. The KCR …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324069/
Category: Cancer Show Health
GraphCare: Enhancing Healthcare Predictions With …
(6 days ago) WEBMethod Our proposed method - GraphCare Step 1: Generate concept-specific KGs for every medical concept using LLM prompts and by subsampling from existing KGs. …
https://pat-jj.github.io/assets/pdf/graphcare_slides.pdf
Category: Medical Show Health
Knowledge Graphs and Explainable AI in Healthcare - MDPI
(8 days ago) WEBBuilding trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for …
Category: Health Show Health
A semantic Enhanced Knowledge Graph Embedding …
(5 days ago) WEBHowever, traditional knowledge graph completion models usually focus on exploiting simple structural features during the phase of feature learning while neglecting …
https://ieeexplore.ieee.org/document/10525201
Category: Health Show Health
Knowledge Graphs for COVID-19: An Exploratory Review …
(3 days ago) WEBFigure 1 illustrates the directed property graph structure for a small subgraph of their KG. Open in a separate window. Figure 1. Schwering T., Kazemlou …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070774/
Category: Health Show Health
A comprehensive overview of knowledge graph completion
(7 days ago) WEB1. Introduction. Knowledge Graphs (KGs) describe the concepts, entities, and their relations in a structured triple form, providing a better ability to organize, …
https://www.sciencedirect.com/science/article/pii/S095070512200805X
Category: Health Show Health
KAT: knowledge-aware attentive recommendation model …
(Just Now) WEBDue to its ability to effectively address the cold start and sparsity problems in collaborative filtering, knowledge graph is commonly used as auxiliary information in …
https://link.springer.com/article/10.1007/s13042-024-02194-4
Category: Health Show Health
Medical Knowledge Graph: Data Sources, Construction - SciOpen
(8 days ago) WEB<p>Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have been in use in a variety of intelligent medical applications. Thus, …
https://www.sciopen.com/article/10.26599/BDMA.2022.9020021
Category: Medical Show Health
Mining a stroke knowledge graph from literature BMC …
(Just Now) WEBWe rely on standard features and structures in sentences that may represent relationships and extract the keywords that may express the relationship …
https://link.springer.com/article/10.1186/s12859-021-04292-4
Category: Health Show Health
Precision Medicine Oriented Knowledge Graph - Zitnik Lab
(1 days ago) WEBPrecision Medicine Oriented Knowledge Graph. Developing personalized diagnostic strategies and targeted treatments requires a deep understanding of disease biology …
https://zitniklab.hms.harvard.edu/projects/PrimeKG/
Category: Medicine Show Health
Graph Machine Learning Applications in Biomedicine
(5 days ago) WEBApproach: Ground clinical trials knowledge graph in underlying biology and chemistry §Biology of disease: §Disease-associated genes, protein interactions, protein …
https://snap.stanford.edu/graphlearning-workshop/slides/stanford_graph_learning_Biomedicine.pdf
Category: Health Show Health
Construction of a knowledge graph for diabetes complications …
(1 days ago) WEBThe evidence-based knowledge graph of the DM complications was constructed by extracting relevant disease, risk factors, risk outcomes, and other …
https://pubmed.ncbi.nlm.nih.gov/33275462/
Category: Health Show Health
arXiv:1708.00112v2 [stat.ML] 25 Oct 2017
(4 days ago) WEBbased on the structure of a knowledge graph. This modular approach conveniently separates the dis-tributional data and entity representation learning from the knowledge …
https://arxiv.org/pdf/1708.00112v2
Category: Health Show Health
Health-Aware Food Recommendation Based on Knowledge Graph …
(1 days ago) WEBTo achieve this, we developed a novel health-aware food recommendation model (F K G M) that uses knowledge graph embedding and a knowledge-aware …
https://www.mdpi.com/2304-8158/12/10/2079
Category: Food Show Health
Enterprise Knowledge Graph: Bringing Data & Knowledge Together
(7 days ago) WEBAn enterprise knowledge graph is a metadata-centric platform that organizes siloed information into organizational knowledge and puts the information in …
https://redfield.ai/enterprise-knowledge-graph/
Category: Health Show Health
Data to knowledge to improvement: creating the learning health …
(7 days ago) WEBPaige McDonald and colleagues detail key domains, tools, and actions required to enact learning health systems for continuous intelligent improvement in …
https://www.bmj.com/content/384/bmj-2023-076175
Category: Health Show Health
Information Free Full-Text Building Knowledge Graphs from
(Just Now) WEBKnowledge graphs gained popularity in recent years and have been useful for concept visualization and contextual information retrieval in various applications. …
https://www.mdpi.com/2078-2489/13/11/526
Category: Health Show Health
From Text to a Knowledge Graph: The Information Extraction …
(9 days ago) WEBStep 1: Coreference Resolution. The first step is the coreference resolution, which is an NLP language technique that finds all expressions that refer to the same …
https://neo4j.com/blog/text-to-knowledge-graph-information-extraction-pipeline/
Category: Health Show Health
Knowledge Distillation Improves Graph Structure Augmentation …
(8 days ago) WEBTo tackle this problem, we propose a novel Knowledge Distillation for Graph Augmentation (KDGA) framework, which helps to reduce the potential negative effects of distribution …
Category: Health Show Health
Harnessing Collective Structure Knowledge in Data Augmentation …
(5 days ago) WEB1. We introduce a novel collective structure knowledge augmented GNN approach (CoS-GNN) that explicitly harnesses a diverse set of node and graph-level …
https://arxiv.org/html/2405.10633v1
Category: Health Show Health
GitHub - frankkramer-lab/FHIRgraph: A graph datatype structure
(4 days ago) WEBNetworks are a powerful and flexible methodology for expressing biological knowledge for computation and communication. Albeit its benefits, the sharing of networks, the …
https://github.com/frankkramer-lab/FHIRgraph
Category: Health Show Health
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