Knowledge Graphs For Health Care

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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 solutions. Knowledge graphs (KGs) have proven utility in this arena and are rooted in a number of healthcare applications to furnish better data representation and knowledge …

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

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Introduction to Knowledge Graphs in Healthcare - Oracle …

(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 prolonged health through proper diagnoses, predictions, and treatments. Despite the drive to continually innovate and improve patient outcomes, the domain of healthcare …

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

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GraphCare: Enhancing Healthcare Predictions with …

(2 days ago) WEBClinical predictive models often rely on patients' electronic health records (EHR), but integrating medical knowledge to enhance predictions and decision-making is challenging. This is because personalized predictions require personalized knowledge graphs (KGs), which are difficult to generate from patient EHR data. To address this, we …

https://arxiv.org/abs/2305.12788

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Using medical knowledge graphs in smart applications …

(7 days ago) WEBDOI: 10.26599/BDMA.2022.9020021. A medical knowledge graph is a specific way that researchers can organize and display information for use in medical research and clinical applications. The

https://medicalxpress.com/news/2023-01-medical-knowledge-graphs-smart-applications.html

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Healthcare knowledge graph construction: A systematic …

(1 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 taxonomy, several existing approaches in this designated domain are inadequate and inferior.

https://pubmed.ncbi.nlm.nih.gov/37274445/

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Explainable Prediction of Medical Codes With Knowledge …

(3 days ago) WEBWith the knowledge graph and attention mechanism, most relevant segments of medical codes can be explained. This suggests that the knowledge graph significantly improves the precision of code prediction and reduces the working pressure of the human coders. Keywords: automated ICD coding, knowledge graphs, explainable, …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456905/

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A Survey on Knowledge Graphs for Healthcare: Resources, …

(Just Now) WEBA healthcare knowledge graph (HKG) is a domain-specific knowledge graph designed to capture medical concepts such as drugs, diseases, genes, phenotypes, and so on, and their relationships in a structured and semantic way. 2.2. HKG Construction Healthcare knowledge graphs can be constructed from

https://openreview.net/attachment?id=CZCktJoBRh&name=pdf

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Derive insights from health data using knowledge graph …

(2 days ago) WEBThis article describes how knowledge graph technologies can help with health data science, particularly on free-text electronic health records. This is based on an invited talk that I gave at 1st International Symposium on Evidence-based Artificial Intelligence and Medicine. For those who would like to know a bit about what is …

https://knowlab.github.io/blog/2021/09/25/blog-kg-health-care/

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Knowledge Graph Solutions in Healthcare for Improved …

(1 days ago) WEBKnowledge Graph Solutions in Healthcare for Improved Clinical Outcomes Jans Aasman, Ph.D.1 and Parsa Mirhaji, MD, Ph.D2 1 Franz Inc, 2201 Broadway, Suite 715, Oakland, California 94612 more than 180 different life science and health care taxonomies and ontologies that are interlinked (see Fig.1). Every

https://ceur-ws.org/Vol-2180/paper-78.pdf

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Healthcare Knowledge Graph Construction: State-of …

(8 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 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.

https://arxiv.org/pdf/2207.03771v1.pdf

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GraphCare: Enhancing Healthcare Predictions with Personalized …

(5 days ago) WEBThis is because personalized predictions require personalized knowledge graphs (KGs), which are difficult to generate from patient EHR data. To address this, we propose \textsc {GraphCare}, an open-world framework that uses external KGs to improve EHR-based predictions. Our method extracts knowledge from large language models …

https://paperswithcode.com/paper/graphcare-enhancing-healthcare-predictions

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Constructing Knowledge Graphs and Their Biomedical Applications

(4 days ago) WEBApplying Knowledge Graphs to Biomedical Challenges. Knowledge graphs can help researchers tackle many biomedical tasks such as finding new treatments for existing drugs [], aiding efforts to diagnose patients [] and predicting associations between diseases and biomolecules [].In many cases, solutions rely on representing knowledges …

https://greenelab.github.io/knowledge-graph-review/v/3099a019d93598aef7ab050a4d960d5830cd7a2b/

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Knowledge graph solutions in healthcare for improved clinical …

(5 days ago) WEBT1 - Knowledge graph solutions in healthcare for improved clinical outcomes. AU - Aasman, Jans. AU - Mirhaji, Parsa. PY - 2018/1/1. Y1 - 2018/1/1. N2 - Deploying patient Knowledge Graphs based on Semantic Technologies offers improved patient care and revolutionizes care models and medical research.

https://einstein.elsevierpure.com/en/publications/knowledge-graph-solutions-in-healthcare-for-improved-clinical-out

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A Knowledge Graph to Understand Nursing Big Data: …

(8 days ago) WEBNursing engagement in big data science has been well referenced, particularly in the nursing management literature over the past 20 years. Less evident, however, is the contribution of nursing …

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

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Knowledge Graphs for the Life Sciences: Recent Developments, …

(5 days ago) WEBWe focus on three broad topics: the construction and management of Knowledge Graphs (KGs), the use of KGs and associated technologies in the discovery of new knowledge, and the use of KGs in artificial intelligence applications …

https://research.ibm.com/publications/knowledge-graphs-for-the-life-sciences-recent-developments-challenges-and-opportunities

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Clinical Knowledge Graph — ClinicalKnowledgeGraph 1.0 …

(7 days ago) WEBThis resource is intended for research purposes and must not substitute a doctor’s medical judgement or healthcare professional advice. Important Note¶ The databases provided within the Clinical Knowledge Graph (CKG) have their own licenses and the use of CKG still requires compliance with these data use restrictions. Please, …

https://ckg.readthedocs.io/en/latest/INTRO.html

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[2002.00388] A Survey on Knowledge Graphs: Representation, …

(2 days ago) WEBHuman knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities have become an increasingly popular research direction towards cognition and human-level intelligence. In this survey, we provide a comprehensive review of knowledge graph covering overall …

https://arxiv.org/abs/2002.00388

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Graph Representation Learning in Biomedicine and Healthcare

(4 days ago) WEBGraph representation learning for healthcare. Graph representation learning has been used to fuse multimodal knowledge with patient records to better enable precision medicine. Two modes of patient data successfully integrated using deep graph learning are histopathological images [ 8, 185] and EHRs [ 186, 187 ]. 7.1.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10699434/

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A remedy for your health-related questions: health info in the

(4 days ago) WEBA remedy for your health-related questions: health info in the Knowledge Graph. Feb 10, 2015. 2 min read. P. Prem Ramaswami. Head of Sidewalk Labs. Listen to article. Think of the last time you searched on Google for health information. Maybe you heard a news story about gluten-free diets and pulled up the Google app to ask, "What …

https://blog.google/products/search/health-info-knowledge-graph/

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Querying Healthcare Data in Knowledge-Based Systems

(Just Now) WEBThe system’s effectiveness and user satisfaction make learning, using, and developing queries for graph-driven healthcare data knowledge easy. The system enhances the overall functionality and usability of the query builder within the system. It offers a pathway to improved clinical decision-making and patient care outcomes.

https://dl.acm.org/doi/10.1007/978-3-031-58502-9_4

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Extending electronic medical records vector models with …

(2 days ago) WEBBackground Artificial intelligence methods applied to electronic medical records (EMRs) hold the potential to help physicians save time by sharpening their analysis and decisions, thereby improving the health of patients. On the one hand, machine learning algorithms have proven their effectiveness in extracting information and exploiting …

https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-022-00261-9

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A semantic Enhanced Knowledge Graph Embedding Model With …

(5 days ago) WEBAI technology has been often employed to establish knowledge graph embedding (KGE) model, which can be used for link prediction on medical knowledge graph to help medical decision-making and disease prediction. However, traditional knowledge graph completion models usually focus on exploiting simple structural …

https://ieeexplore.ieee.org/document/10525201

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5 Ways Healthcare Marketers Can Leverage Knowledge Graphs

(7 days ago) WEBHere are five pivotal ways knowledge graphs can empower you to achieve your strategic goals today. 1. Data-Driven Decision Making. The healthcare industry's complexity requires decisions based on

https://www.linkedin.com/pulse/5-ways-healthcare-marketers-can-leverage-knowledge-dd8nc

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Knowledge Graph: Who Cares? And What Can One Do With It?

(9 days ago) WEBThe knowledge graph approach provides the means to rapidly create, adapt and maintain a 360 degree view of an entity, while allowing individual sources to maintain ‘local’ perspectives (i.e., federated-enterprise data architecture). Accelerate R&D — Link data related to specific targets, signals, persons, or technologies to accelerate

https://blog.cambridgesemantics.com/knowledge-graph-who-cares-and-what-can-one-do-with-it

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The Healthcare and Lifesciences Symposum 2024 - Index

(3 days ago) WEBThe Healthcare and Life Sciences Symposium is co-located with the 2024 Knowledge Graph Conference. The symposium will cover topics around data integration, data profiling, data curation, querying, knowledge discovery, ontology mapping, matching, reconciliation, machine learning / generative AI approaches, and applications.

https://healthcare-life-sciences.github.io/

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Health Insurance Portability and Accountability Act of 1996 (HIPAA)

(9 days ago) WEBException: A group health plan with fewer than 50 participants that is administered solely by the employer that established and maintains the plan is not a covered entity. Healthcare clearinghouses: Entities that process nonstandard information they receive from another entity into a standard (i.e., standard format or data content), or …

https://www.cdc.gov/phlp/php/resources/health-insurance-portability-and-accountability-act-of-1996-hipaa.html

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Quantum Mechanics-Enhanced Drug Discovery Using QUELO-G …

(6 days ago) WEBThe software implementation in QUELO-G uses conditional graph nodes, recently introduced in CUDA Graphs (since CUDA 12.3). Using this feature, the entire iterative procedure in quantum mechanics algorithms can be mapped to CUDA Graphs, in which the loop and conditional branch are performed in the device (Figure 2).

https://developer.nvidia.com/blog/quantum-mechanics-enhanced-drug-discovery-using-quelo-g-and-cuda-graphs/

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How Specialists Benefit from a General EHR Solution athenahealth

(6 days ago) WEBEfficient workflows and insights at the point of care are critical to helping solve the problem. This is especially true for clinicians who practice within a particular specialty. These clinicians often feel that EHRs are not tailored to their specific needs, and they are left to hunt for relevant information within the patient’s chart.

https://www.athenahealth.com/knowledge-hub/healthcare-technology/how-specialists-benefit-from-a-general-ehr-solution

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How an Aging Population is Affecting Caregivers

(3 days ago) WEBWhen Caregivers Care Too Much: Emotional Empathy and Mental Health. When a person receiving care has dementia, the caregiver is much more likely to experience depression or anxiety, especially if they have high levels of emotional empathy. Aging. Research is showing that aging equals anything but cognitive decline and …

https://www.psychologicalscience.org/news/2024-may-aging-population-affecting-caregivers.html

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Damaging hacks expose the weak underbelly of America’s health …

(9 days ago) WEBA pair of recent ransomware attacks crippled computer systems at two major American health care firms, disrupting patient care and exposing fundamental weaknesses in the US health care system’s

https://www.cnn.com/2024/05/16/tech/damaging-hacks-expose-the-weak-underbelly-of-americas-health-care-system/index.html

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Budget 2024–25 - Department of Health and Aged Care

(2 days ago) WEBBudget 2024–25: Ensuring all Australians get the health care they need. 14 May 2024. Fact sheet. Fact sheets. Budget 2024–⁠25: Strengthening Medicare. 14 May 2024. Fact sheet. Budget 2024–⁠25: Cheaper medicines. 14 May 2024. Fact sheet. Budget 2024–⁠25: Quality aged care. 14 May 2024.

https://www.health.gov.au/resources/collections/budget-2024-25

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Contraception Reproductive Health CDC

(4 days ago) WEBThese methods are prescribed by a health care provider. Typical use failure rate for the diaphragm: 17%. 1 Typical use failure rate for the cervical cap: 22%. 1. Sponge—The contraceptive sponge contains spermicide and is placed in the vagina where it fits over the cervix. The sponge works for up to 24 hours and must be left in the vagina …

https://www.cdc.gov/reproductive-health/contraception/index.html

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Health-care giant Ascension says hack is disrupting patient care

(7 days ago) WEBHealth-care providers largely have been able to blunt direct impacts to patient care over the course of the Change Healthcare hack, even as they’ve taken out loans and resorted to filing medical

https://www.washingtonpost.com/business/2024/05/09/cyberattack-hack-hospital-ascension/

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Healthcare-Associated Infections (HAIs) HAIs CDC

(3 days ago) WEBHAIs are infections that patients get while or soon after receiving health care. Mar. 28, 2024. HAIs: Reports and Data. CDC publishes data reports to help track progress and target areas that need assistance. May 7, 2024. HAI Prevention and Control for …

https://www.cdc.gov/healthcare-associated-infections/index.html

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Population Health Specialist- Collaborative Care

(4 days ago) WEBDuke Connected Care, a community-based, physician-led network, includes a group of doctors, hospitals and other healthcare providers who work together to deliver high-quality care to Medicare Fee-for-Service patients in Durham and itssurrounding areas.. Occ Summary. The Population Health Specialist will develop, implement, and evaluate …

https://careers.duke.edu/job/Durham-Population-Health-Specialist-Collaborative-Care-NC-27710/1170002600/

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