Chemical-induced disease relation extraction with dependency information and prior knowledge [PDF]
Huiwei Zhou +5 more
openalex +1 more source
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction [PDF]
Haiyang Yu +5 more
openalex +1 more source
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin +6 more
wiley +1 more source
About the Development of the Intelligent Deckhouse to the Information Leakage Control Systems
The problem of preventing leaks of corporate information is described. Opportunities of DLP-systems, problems in constructing and functioning of such systems and propose to develop the intellectual superstructure are analyzed.
Jurij Ivanovich Eremenko +2 more
doaj
The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen +5 more
wiley +1 more source
Knowledge extraction from webpages
This article presents a system to extract Knowledge from webpages by producing semantic annotations. taking into account semantic information from the domain to annotate an element in a webpage implies solving two problems : (1) identifying the syntactic structure of this element in the webpage and (2) identifying the most specific concept (in terms of
Tenier, Sylvain +3 more
openaire +1 more source
Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization
ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung +190 more
wiley +1 more source
Automated knowledge extraction from polymer literature using natural language processing. [PDF]
Shetty P, Ramprasad R.
europepmc +1 more source
Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz +25 more
wiley +1 more source
Correlation knowledge extraction based on data mining for distribution network planning
Zhifang Zhu +6 more
openalex +1 more source

