Learning A Health Knowledge Graph

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Learning a Health Knowledge Graph from Electronic Medical Records

(3 days ago) WEBOur study shows that direct and automated construction of high quality health knowledge graphs from medical records using rudimentary concept extraction is feasible. The noisy …

https://dspace.mit.edu/handle/1721.1/113644

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Learning a Health Knowledge Graph from Electronic Medical Records

(7 days ago) WEBThis study explored an automated process to learn high quality knowledge bases linking diseases and symptoms directly from electronic medical records. Medical concepts were …

http://clinicalml.org/publication/rotmensch-nature-sr-17/

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Learning a Health Knowledge Graph from Electronic …

(6 days ago) WEBOur study shows that direct and automated construction of high quality health knowledge graphs from medical records using …

https://www.researchgate.net/publication/318571526_Learning_a_Health_Knowledge_Graph_from_Electronic_Medical_Records

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Learning a Health Knowledge Graph from Electronic Medical Records

(3 days ago) WEBOur study shows that direct and automated construction of high quality health knowledge graphs from medical records using rudimentary concept extraction is feasible. The noisy …

https://consensus.app/papers/learning-health-knowledge-graph-electronic-medical-rotmensch/a1a01079b05f557f8fec4278a0a2b427/

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Learning a Health Knowledge Graph from Electronic Medical Records

(6 days ago) WEBD. Sontag. Published in Scientific Reports 20 July 2017. Medicine, Computer Science. TLDR. This study shows that direct and automated construction of high quality …

https://www.semanticscholar.org/paper/Learning-a-Health-Knowledge-Graph-from-Electronic-Rotmensch-Halpern/8b0de2074bb42a55395efd7e95503bd74736cdd7

Category:  Medicine Show Health

Robustly Extracting Medical Knowledge from EHRs: A Case Study …

(1 days ago) WEBIn one prominent example, a causal health knowledge graph could learn relationships between diseases and symptoms and then serve as a diagnostic tool to be refined with …

https://pubmed.ncbi.nlm.nih.gov/31797583/

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

(Just Now) WEBGAT-ETM distills latent disease topics from EHR data by learning the embedding from a constructed medical knowledge graph. We applied GAT …

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

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Robustly Extracting Medical Knowledge from EHRs: A Case Study …

(2 days ago) WEBIncreasingly large electronic health records (EHRs) provide an opportunity to algorithmically learn medical knowledge. In one prominent example, a causal health …

https://arxiv.org/abs/1910.01116

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Healthcare knowledge graph construction: A systematic review of …

(4 days ago) WEBFor example, Zhang et al. developed Health Knowledge Graph Builder (HKGB), which is a framework that can be used to construct a Health KG (HuadingKG) …

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

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Towards electronic health record-based medical knowledge graph

(7 days ago) WEBFig. 2 reveals that there has been a steady rise in the number of published articles in the knowledge graph domain that incorporated the use of EHR data. The …

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

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Learning a Health Knowledge Graph from Electronic Medical Records

(3 days ago) WEBThe Google health knowledge graph, first announced in 2015, aims to empower users in their health decisions 19. Google created the graph using a multi …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519723/

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GitHub - clinicalml/HealthKnowledgeGraph: Health knowledge …

(Just Now) WEBHealth knowledge graph for 157 diseases and 491 symptoms, learned from >270,000 patients' data - clinicalml/HealthKnowledgeGraph. Learning a Health Knowledge …

https://github.com/clinicalml/HealthKnowledgeGraph

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Learning a Health Knowledge Graph from Electronic Medical Records

(1 days ago) WEBOur study shows that direct and automated construction of high quality health knowledge graphs from medical records using rudimentary concept extraction is …

https://pubmed.ncbi.nlm.nih.gov/28729710/

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Build a cognitive search and a health knowledge graph using AWS …

(7 days ago) WEBMedical data is highly contextual and heavily multi-modal, in which each data silo is treated separately. To bridge different data, a knowledge graph-based …

https://aws.amazon.com/blogs/machine-learning/build-a-cognitive-search-and-a-health-knowledge-graph-using-amazon-healthlake-amazon-kendra-and-amazon-neptune/

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Learning a Health Knowledge Graph from Electronic Medical …

(2 days ago) 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 …

https://europepmc.org/article/MED/28729710

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GENA: A knowledge graph for nutrition and mental health

(7 days ago) WEBWhile a large number of knowledge graphs have previously been developed by automatically extracting and structuring knowledge from literature, there is currently …

https://www.sciencedirect.com/science/article/pii/S1532046423001818

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Health-Aware Food Recommendation Based on Knowledge Graph …

(1 days ago) WEBFKGM employs a knowledge-aware attention graph convolutional neural network to capture the semantic associations between users and recipes on the …

https://www.mdpi.com/2304-8158/12/10/2079

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Time-aware Heterogeneous Graph Transformer with Adaptive …

(2 days ago) WEBThe widespread application of Electronic Health Records (EHR) data in the medical field has led to early successes in disease risk prediction using deep learning …

https://arxiv.org/abs/2404.14815

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Graph Machine Learning in the Era of Large Language Models …

(2 days ago) WEBGraphs play an important role in representing complex relationships in various domains like social networks, knowledge graphs, and molecular discovery. With …

https://arxiv.org/abs/2404.14928

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Graph convolutional network learning model based on new

(9 days ago) WEBChronic metabolic diseases constitute a group of conditions requiring long-term management and hold significant importance for national public health and medical …

https://www.biorxiv.org/content/10.1101/2024.04.24.591043v1

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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 Zhu, …

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

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MDSEA: Knowledge Graph Entity Alignment Based on Multimodal …

(Just Now) WEBWith the development of social media, the internet, and sensing technologies, multimodal data are becoming increasingly common. Integrating these …

https://www.mdpi.com/2076-3417/14/9/3648

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Adversarial Attacks On Graph Convolutional Transformer With EHR …

(1 days ago) WEBThis research explores adversarial attacks on Graph Convolutional Transformer (GCT) models that utilize Electronic Health Record (EHR) data. As deep …

https://hammer.purdue.edu/articles/thesis/Adversarial_Attacks_On_Graph_Convolutional_Transformer_With_EHR_Data/25685052/1

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Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph

(2 days ago) WEBPre-training GNNs to extract transferable knowledge and apply it to downstream tasks has become the de facto standard of graph representation learning. …

https://arxiv.org/abs/2404.14941

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Integrating Large Language Models with Graph Machine Learning: …

(5 days ago) WEBGraphs are important in representing complex relationships in various domains like social networks, knowledge graphs, and molecular discovery. Alongside topological …

https://www.marktechpost.com/2024/04/26/integrating-large-language-models-with-graph-machine-learning-a-comprehensive-review/

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Learning a Health Knowledge Graph from Electronic Medical …

(4 days ago) WEBSCIENTIFIC REPORTS 7: 5994 O:10.1038s4158-017-05778- 1 www.nature.comscientificreports Learning a Health Knowledge Graph from Electronic …

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

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How TigerGraph CoPilot enables graph-augmented AI InfoWorld

(6 days ago) WEBFurthermore, by merging a document knowledge graph and an existing business graph (e.g., product graph) into one intelligence graph, TigerGraph CoPilot …

https://www.infoworld.com/article/3715344/how-tigergraph-copilot-enables-graph-augmented-ai.html

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History repeats itself: A Baseline for Temporal Knowledge Graph …

(2 days ago) WEBTemporal Knowledge Graph (TKG) Forecasting aims at predicting links in Knowledge Graphs for future timesteps based on a history of Knowledge Graphs. To …

https://arxiv.org/abs/2404.16726

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A Graph-Based Keyword Extraction Method for Academic …

(Just Now) WEBIn this paper, we construct an academic literature knowledge graph based on the relationship between documents to facilitate the storage and research of academic …

https://www.mdpi.com/2227-7390/12/9/1349

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