Results 131 to 140 of about 1,934,537 (295)

Digitalizing Material Knowledge: A Practical Framework for Ontology-Driven Knowledge Graphs in Process Chains

Applied Sciences
This paper proposes a robust methodology for integrating process-specific data and domain expert knowledge into linked knowledge graphs. These graphs utilize an ontology that provides a standardized vocabulary for material science and facilitates the ...
Elena Garcia Trelles, Christoph Schweizer, Akhil Thomas, Philipp von Hartrott, Marina Janka-Ramm   +4 more
doaj   +1 more source

Automatic knowledge extraction from Chinese electronic medical records and rheumatoid arthritis knowledge graph construction. [PDF]

Quant Imaging Med Surg, 2023
Liu F, Liu M, Li M, Xin Y, Gao D, Wu J, Zhu J.   +6 more
europepmc   +1 more source

Prognostic Implications of Sleep Architecture for Patients Admitted to the Intensive Care Unit With Status Epilepticus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu, Marcus C. Ng, Gavin P. Winston, Sabrina Schaly, Garima Shukla, Lysa Boissé Lomax   +5 more
wiley   +1 more source

Empowering digital pathology applications through explainable knowledge extraction tools. [PDF]

J Pathol Inform, 2022
Marchesin S, Giachelle F, Marini N, Atzori M, Boytcheva S, Buttafuoco G, Ciompi F, Di Nunzio GM, Fraggetta F, Irrera O, Müller H, Primov T, Vatrano S, Silvello G.   +13 more
europepmc   +1 more source

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 more
wiley   +1 more source

Unsupervised real-world knowledge extraction via disentangled variational autoencoders for photon diagnostics. [PDF]

Sci Rep, 2022
Hartmann G, Goetzke G, Düsterer S, Feuer-Forson P, Lever F, Meier D, Möller F, Vera Ramirez L, Guehr M, Tiedtke K, Viefhaus J, Braune M.   +11 more
europepmc   +1 more source

Characterization of Clinical Phenotype to Glial Fibrillary Acidic Protein Concentrations in Alexander Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman, Asako Takanohashi, Joshua Y. Joung, Geraldine W. Liu, Kaley Arnold, Amy Pizzino, Walter Faig, Sarah Woidill, Sona Narula, Adeline L. Vanderver   +9 more
wiley   +1 more source

Text analysis and knowledge extraction [PDF]

Proceedings of the 11th coference on Computational linguistics -, 1986
Fujio Nishida, Shinobu Takamatsu, Tadaaki Tani, Hiroji Kusaka   +3 more
openaire   +2 more sources

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org. [PDF]

Brain Inform, 2022
Bijari K, Zoubi Y, Ascoli GA.
europepmc   +1 more source