Healthcare Knowledge Graph Structure
Listing Websites about Healthcare Knowledge Graph Structure
Healthcare knowledge graph construction: A systematic …
(4 days ago) WEBThe fundamentally abstract structure of this technology, which efficiently promotes domain conceptualisation and data management, is one of the key factors driving the growing interest in it. developed Health Knowledge Graph Builder (HKGB), …
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 fundamentally abstract structure of this technology, which efficiently promotes domain conceptualisation and data management, is one of the key factors …
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) WEBLanguage descriptions of drugs and clinical characteristics of diseases give the features of drug or disease nodes. PrimeKG is a multimodal knowledge graph with …
https://www.nature.com/articles/s41597-023-01960-3
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Learning a Health Knowledge Graph from Electronic …
(Just Now) WEBThe Google health knowledge graph, first announced in 2015, We use a precision-recall curve to evaluate the graph structures derived from each measure.
https://www.nature.com/articles/s41598-017-05778-z
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[2306.04802] A Review on Knowledge Graphs for …
(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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Towards electronic health record-based medical …
(7 days ago) WEBA health knowledge graph entity is medical concepts such as diseases, symptoms, treatments, and drugs. Entity identification should consider concepts, events, …
https://www.sciencedirect.com/science/article/pii/S1532046423001247
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From Data to Wisdom: Biomedical Knowledge Graphs for …
(4 days ago) WEBTechnical background: Graphs to knowledge graphs. Biomedical data have an inherent graph structure, such as drug-disease interactions that capture data from …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10191934/
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A Survey on Knowledge Graphs for Healthcare: …
(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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Healthcare knowledge graph construction: A systematic …
(1 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. …
https://pubmed.ncbi.nlm.nih.gov/37274445/
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A Survey on Knowledge Graphs for Healthcare: Resources, …
(Just Now) WEBhealthcare delivery and enhance the interpretabil-ity and reliability of clinical prediction. 1. Introduction A knowledge graph (KG) is a data structure that captures the …
https://openreview.net/pdf?id=CZCktJoBRh
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HealthPathFinder: Navigating the Healthcare Knowledge Graph
(2 days ago) WEBWithin the healthcare knowledge graph, triplets represent either direct or indirect (multi-step) relational attributes of treatments, creating one or multiple paths …
https://link.springer.com/chapter/10.1007/978-3-031-53824-7_40
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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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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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A very simple guide to Knowledge Graphs for Health Data Scientists
(9 days ago) WEB(Screenshot of Google’s search result) Google’s Infobox about Pneumonia that is powered by its Knowledge Graph. Similarly, if you search a disease like …
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Introduction to Knowledge Graphs in Healthcare - Oracle Blogs
(5 days ago) WEBDeploying knowledge graphs in the healthcare services space has proven to be an effective method to map relationships between the enormous variety and …
https://blogs.oracle.com/ai-and-datascience/post/introduction-to-knowledge-graphs-in-healthcare
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Healthcare Knowledge Graph Construction: State-of-the-art, …
(2 days ago) WEBHealthcare Knowledge Graph Construction: State-of-the-art, open issues, and structure of this technology, which efficiently promotes domain conceptualisation and …
https://arxiv.org/pdf/2207.03771
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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
(8 days ago) WEBgies [7]. A knowledge graph is a data structure representing entities as vertices and their relationships as directed labelled edges, which integrates and …
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Knowledge Graphs: A Practical Review of the Research Landscape
(9 days ago) WEBKnowledge graphs (KGs) have rapidly emerged as an important area in AI over the last ten years. Building on a storied tradition of graphs in the AI community, a …
https://www.mdpi.com/2078-2489/13/4/161
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Comprehensive Personal Health Knowledge Graph for - IEEE …
(6 days ago) WEBIn response, this paper proposes a Personal Health Knowledge Graph for integrated health data management and utilization. This approach utilizes knowledge graphs to …
https://ieeexplore.ieee.org/document/10504339/
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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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Information Free Full-Text Using Knowledge Graph Structures …
(8 days ago) WEBInformation sharing across medical institutions is restricted to information exchange between specific partners. The lifelong electronic health records (EHR) …
https://www.mdpi.com/2078-2489/13/2/52
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arXiv:2306.04802v3 [cs.AI] 19 Feb 2024
(6 days ago) WEBA knowledge graph (KG) is a data structure that captures the relationships between different entities and their attributes [1,2]. KG models and integrates data Definition.A …
https://arxiv.org/pdf/2306.04802.pdf
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A semantic Enhanced Knowledge Graph Embedding Model With …
(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
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The biomedical knowledge graph of symptom phenotype in …
(5 days ago) WEBA knowledge graph can effectively showcase the essential characteristics of data and is increasingly emerging as a significant means of integrating information in the field of artificial intelligence. Coronary artery plaque represents a significant etiology of cardiovascular events, posing a diagnostic challenge for clinicians who are confronted …
https://biodatamining.biomedcentral.com/articles/10.1186/s13040-024-00365-1
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Exploring Graph-based Knowledge: Multi-Level Feature
(2 days ago) WEBIn visual tasks, large teacher models capture essential features and deep information, enhancing performance. However, distilling this information into smaller student models …
https://ui.adsabs.harvard.edu/abs/2024arXiv240508547W/abstract
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Building Knowledge Graphs to Enhance Data-Driven Decision …
(6 days ago) WEBStep 10: Check Neo4j’s web instance for the knowledge graph. We can see the relationships as per the Game of Thrones script data knowledge graph. Step 11: We can now use LangChain’s graph query with cypher query language for running our queries based on the knowledge graph’s entities and relationships. In the query below, we are …
https://adasci.org/knowledge-graphs/
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[2405.10633] Harnessing Collective Structure Knowledge in Data
(2 days ago) WEBGraph neural networks (GNNs) have achieved state-of-the-art performance in graph representation learning. Message passing neural networks, which learn …
https://arxiv.org/abs/2405.10633
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Organizational Unlearning: A Bibliometric Study and Visualization
(3 days ago) WEBTo investigate the knowledge structure of organizational unlearning in the field of business management as represented in existing literature, we have employed bibliometric analysis. A knowledge graph, also called knowledge mapping or knowledge visualization in the library intelligence community, is a series of different …
https://journals.sagepub.com/doi/full/10.1177/21582440241251648
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ISO - An easy guide to understanding healthcare data analytics
(5 days ago) WEBThe field of healthcare data analytics stands at the intersection of technology and healthcare, promising to transform how we manage, deliver and access medical services. In practice, hospital data, medical data and clinical data are already being used to improve inventory management and provide personalized healthcare to patients.
https://www.iso.org/healthcare/data-analytics
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Global status and trends of metabolomics in diabetes: A literature
(4 days ago) WEBTo understand the knowledge structure of global development status, research focus, and future trend of the relationship between diabetes and metabolomics in the past 20 years. which will bring heavy pressure and burden to global health care. The category marked in blue is located in the second quadrant of the graph and is …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11099375/
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Graph Artificial Intelligence in Medicine - PubMed
(1 days ago) WEBAbstract. In clinical artificial intelligence (AI), graph representation learning, mainly through graph neural networks and graph transformer architectures, stands out for its capability to capture intricate relationships and structures within clinical datasets. With diverse data-from patient records to imaging-graph AI models process data
https://pubmed.ncbi.nlm.nih.gov/38749465/
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Health system structure and its influence on outcomes: The …
(8 days ago) WEBHealthcare structures and organizations in Canada are undergoing unprecedented change. In 2023, Alberta announced that its centralized integrated healthcare delivery system was being split into three separate organizations: acute care, mental health and addiction, and continuing care, with a new primary care organization …
https://journals.sagepub.com/doi/10.1177/08404704241248559
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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 shifts, i.e., negative augmentation problem. Specifically, KDGA extracts the knowledge of any GNN teacher model trained on the augmented graphs and injects it into a
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Predicting Antimicrobial Peptides Using ESMFold-Predicted Structures …
(9 days ago) WEBCurrently, antimicrobial resistance constitutes a serious threat to human health. Drugs based on antimicrobial peptides (AMPs) constitute one of the alternatives to address it. Shallow and deep learning (DL)-based models have mainly been built from amino acid sequences to predict AMPs. Recent advances in tertiary (3D) structure …
https://pubs.acs.org/doi/10.1021/acs.jcim.3c02061
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Advances in Social Determinants of Health for College - Frontiers
(2 days ago) WEBThe goal of this Research Topic is to broaden our understanding of social and structural factors that affect ADHD among underrepresented college / post-secondary students. We define “underrepresented” broadly, including but not limited to racially and ethnically minoritized individuals, sexual and gender minority populations
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Internet - Wikipedia
(8 days ago) WEBThe Internet (or internet) is the global system of interconnected computer networks that uses the Internet protocol suite (TCP/IP) to communicate between networks and devices. It is a network of networks that consists of private, public, academic, business, and government networks of local to global scope, linked by a broad array of electronic, …
https://en.wikipedia.org/wiki/Internet
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Blockchain - Wikipedia
(Just Now) WEBA blockchain is a distributed ledger with growing lists of records (blocks) that are securely linked together via cryptographic hashes. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data (generally represented as a Merkle tree, where data nodes are represented by leaves). Since each block contains information …
https://en.wikipedia.org/wiki/Blockchain
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Harnessing Collective Structure Knowledge in Data …
(2 days ago) WEBThe overall procedure of CoS-GNN is illustrated in Figure 3, which is composed of the following three major components: 7. • Collective Graph Data Augmentation. In this component, we generate a diverse set of specific structural features for each graphG(denoted by xgs G) and each node v. iin G(denoted by xns i).
https://arxiv.org/pdf/2405.10633
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