Results 131 to 140 of about 468,662 (346)

Development of a Personalized Visualization and Analysis Tool to Improve Clinical Care in Complex Multisystem Diseases With Application to Scleroderma

Arthritis Care &Research, EarlyView.
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

Few-Shot Knowledge Graph Completion Based on Selective Attention [PDF]

Jisuanji kexue yu tansuo
Most few-shot knowledge graph completion models have some problems, such as low ability to learn relation representation and rarely attaching importance to the relative location and interaction between query entity pair when the relation between entities
LIN Sui, LU Chaohai, JIANG Wenchao, LIN Xiaoshan, ZHOU Weilin
doaj   +1 more source

Evaluation of a novel EHR sidecar application to display RA clinical outcomes during clinic visits: results of a stepped‐wedge cluster randomized pragmatic trial

Arthritis Care &Research, Accepted Article.
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk, Jing Li, Cathy Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Stephen Shiboski, Emma Kersey, Mary Nakamura, Judith F. Ashouri, Mehrdad Matloubian, Andrew J. Gross, Jennifer Barton, Beth Berrean, Jonathan Prugh, Jinoos Yazdany   +16 more
wiley   +1 more source

A Brief Survey on Deep Learning-Based Temporal Knowledge Graph Completion

Applied Sciences
Temporal knowledge graph completion (TKGC) is the task of inferring missing facts based on existing ones in a temporal knowledge graph. In recent years, various TKGC methods have emerged, among which deep learning-based methods have achieved state-of-the-
Ningning Jia, Cuiyou Yao
doaj   +1 more source

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment [PDF]

, 2022
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang   +8 more
openalex   +1 more source

IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion [PDF]

The Web Conference
Temporal Knowledge Graphs (TKGs) incorporate a temporal dimension, allowing for a precise capture of the evolution of knowledge and reflecting the dynamic nature of the real world.
Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao   +6 more
semanticscholar   +1 more source

Association Between Symptomatic Knee Osteoarthritis and Target Glycemic Control in Individuals with Type 2 Diabetes

Arthritis Care &Research, Accepted Article.
Objective Knee osteoarthritis (OA) commonly affects individuals with Type 2 diabetes (T2DM) and is associated with increased risk of diabetes‐related complications. To better understand potential mechanisms, we examined the association between symptomatic knee OA and glycemic control in individuals with T2DM.
Lauren K. King, Alanna Weisman, Baiju R. Shah, Robert Goldberg, Amish Parikh, Ian Stanaitis, Vivian Hung, Rosane Nisenbaum, Abdalmohsen Almodahka, Lorraine Lipscombe, Gillian A. Hawker   +10 more
wiley   +1 more source

Active knowledge graph completion

Information Sciences, 2022
Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio Rodriguez Mendez, Armin Haller   +3 more
openaire   +1 more source

Development and Preliminary In Vivo Study of 3D‐Printed Bioactive Glass Scaffolds with Trabecular Architecture

Advanced Engineering Materials, EarlyView.
This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov, Roberta Gabrieli, Avzal Akbarov, Nigora Nigmatova, Bekhzod Khabilov, Alessandro Schiavi, Martin Schwentenwein, Enrica Verné, Francesco Baino   +8 more
wiley   +1 more source

Leveraging Non-Parametric Reasoning With Large Language Models for Enhanced Knowledge Graph Completion

IEEE Access
The completeness of knowledge graphs is critical to their effectiveness across various applications. However, existing knowledge graph completion methods face challenges such as difficulty in adapting to new entity information, parameter explosion, and ...
Ying Zhang, Yangpeng Shen, Gang Xiao, Jinghui Peng   +3 more
doaj   +1 more source