Knowledge Graph In Health Care

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Healthcare knowledge graph construction: A systematic review of …

(4 days ago) WebKnowledge graphs (KGs) have proven utility in this arena and are rooted in a number of healthcare applications to furnish better data representation and knowledge inference. However, in conjunction with a lack of a representative KG construction …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225120/

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Healthcare knowledge graph construction: A systematic review of …

(7 days ago) WebThe incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics …

https://journalofbigdata.springeropen.com/articles/10.1186/s40537-023-00774-9

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Building a knowledge graph to enable precision medicine

(Just Now) WebKnowledge-driven drug repurposing using a comprehensive drug knowledge graph. Health Informatics Journal 26 , 2737–2750 (2020). Article Google Scholar

https://www.nature.com/articles/s41597-023-01960-3

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A very simple guide to Knowledge Graphs for Health Data Scientists

(9 days ago) Web(Image by author) The full knowledge graph after two inference computations. In knowledge graphs, we usually separate things into two groups: T-box …

https://towardsdatascience.com/a-very-simple-guide-of-knowledge-graph-for-health-data-scientists-bb8cefc1db31

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Learning a Health Knowledge Graph from Electronic Medical …

(Just Now) WebGoogle health knowledge graph. A novel aspect of our study is the use of an expansive and manually curated health knowledge graph provided, with permission to …

https://www.nature.com/articles/s41598-017-05778-z

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Towards electronic health record-based medical knowledge graph

(7 days ago) WebA health knowledge graph constructed from patient records encompasses knowledge representation, knowledge extraction, and knowledge-based reasoning. A …

https://www.sciencedirect.com/science/article/pii/S1532046423001247

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A Survey on Knowledge Graphs for Healthcare: Resources, …

(4 days ago) WebA healthcare knowledgegraph(HKG) is a domain-specific knowledge graph designed to capture medical concepts such as drugs, diseases, genes, phenotypes, and so on, and …

https://arxiv.org/pdf/2306.04802v1

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Knowledge Graphs and Explainable AI in Healthcare

(8 days ago) WebKnowl-edge graphs can be used in XAI for explainability by structuring information, extracting features and relations, and performing reasoning. This paper …

https://mdpi-res.com/d_attachment/information/information-13-00459/article_deploy/information-13-00459-v2.pdf?version=1666581758

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[2207.03771] Healthcare Knowledge Graph Construction: State-of …

(2 days ago) WebThe incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics …

https://arxiv.org/abs/2207.03771

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From Data to Wisdom: Biomedical Knowledge Graphs for Real

(Just Now) WebGraph data models are an emerging approach to structure clinical and biomedical information. These models offer intriguing opportunities for novel approaches …

https://link.springer.com/article/10.1007/s10916-023-01951-2

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Introduction to Knowledge Graphs in Healthcare - Oracle Blogs

(5 days ago) WebIntroduction to Knowledge Graphs in Healthcare. The healthcare industry is of utmost importance and focuses on the development of various systems that enable …

https://blogs.oracle.com/ai-and-datascience/post/introduction-to-knowledge-graphs-in-healthcare

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Knowledge Graphs Can Move Healthcare into the Future

(9 days ago) WebIBM defines a knowledge graph (KG) as “a network of real-world entities—i.e. objects, events, situations, or concepts—and illustrates the relationship …

https://www.mayoclinicplatform.org/2023/12/21/knowledge-graphs-can-move-healthcare-into-the-future/

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Knowledge Graphs and Explainable AI in Healthcare - MDPI

(Just Now) WebBuilding trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for …

https://www.mdpi.com/2078-2489/13/10/459

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Personalized Health Knowledge Graph - PMC - National Center for

(3 days ago) WebPersonalized Healthcare Knowledge Graph (PHKG) 8 is a representation of all relevant medical knowledge and personal data for a patient. PHKG can support development of …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8532078/

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A Knowledge Graph to Understand Nursing Big Data: …

(8 days ago) WebHealth service policy over the past 10 years has advocated strongly for engagement in universal health care and closer alignment across the United Nations Sustainable Development Goals (SDGs) …

https://sigmapubs.onlinelibrary.wiley.com/doi/full/10.1111/jnu.12650

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[2306.04802] A Review on Knowledge Graphs for Healthcare: …

(2 days ago) WebA Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. Healthcare knowledge graphs (HKGs) are valuable tools for organizing …

https://arxiv.org/abs/2306.04802

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A very simple guide of Knowledge Graph for Health Data Scientists

(6 days ago) WebKnowledge Representation is the core of Knowledge Graph. Both “web of data” and “knowledge graph” share the same technical stack called knowledge …

https://knowlab.github.io/blog/2021/07/01/blog-kg-intro/

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Modeling electronic health record data using an end-to-end …

(Just Now) WebTo handle various healthcare tasks, TAdaNet 27 a meta-learning model makes use of a domain-knowledge graph to provide task-specific customization. These …

https://www.nature.com/articles/s41598-022-22956-w

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Knowledge Graphs in Healthcare Virtusa

(1 days ago) WebA knowledge graph is a database which stores raw, semi processed or processed data in a graphical format. By forging relationships between multiple data …

https://www.virtusa.com/insights/perspectives/knowledge-graphs-backbone-of-data-driven-culture-in-life-sciences

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Healthcare Knowledge Graph Construction: State-of-the-art, …

(2 days ago) WebThe incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions. Knowledge …

https://arxiv.org/pdf/2207.03771

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A semantic Enhanced Knowledge Graph Embedding Model With …

(4 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/abstract/document/10525201

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arXiv:2306.04802v3 [cs.AI] 19 Feb 2024

(6 days ago) WebDefinition.A healthcare knowledge graph (HKG) is a domain-specific knowledge graph designed to capture medical concepts such as drugs, diseases, genes, phenotypes, and …

https://arxiv.org/pdf/2306.04802.pdf

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Symmetry Free Full-Text Enhancing Knowledge Graph …

(5 days ago) WebFeature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that …

https://www.mdpi.com/2073-8994/16/5/587/notes

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April 2024 U.S. jobs report: What it says about the economy - NBC …

(Just Now) WebTotal employment rose by 175,000 in April. The unemployment rate rose slightly to 3.9% from 3.8% in March. That came in below estimates of 240,000 jobs for …

https://www.nbcnews.com/business/economy/april-2024-us-jobs-report-labor-market-rcna150239

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GraphCare: Enhancing Healthcare Predictions with Personalized …

(2 days ago) WebClinical predictive models often rely on patients' electronic health records (EHR), but integrating medical knowledge to enhance predictions and decision-making …

https://arxiv.org/abs/2305.12788

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