A NATURAL LANGUAGE PROCESSING SYSTEM FOR THE EFFICIENT UPDATING OF HIGHLY CURATED PATHOPHYSIOLOGY MECHANISM KNOWLEDGE GRAPHS

A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs

Background: Biomedical knowledge graphs (KG) have become crucial for describing biological findings in a structured manner.To keep up with the constantly changing flow of knowledge, their embedded information must be regularly updated with the latest findings.Natural language processing (NLP) has created new possibilities for automating this upkeep

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Prevalence and sensitization of atopic allergy and coeliac disease in the Northern Sweden Population Health Study

Background.Atopic allergy is effected by a number of environmental exposures, such as dry air and time spent outdoors, but there are few estimates of the prevalence in populations from sub-arctic areas.Objective.To determine the prevalence and severity of symptoms of food, inhalation and skin-related allergens and coeliac disease (CD) in the sub-ar

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Structural Classification of Marshes with Polarimetric SAR Highlighting the Temporal Mapping of Marshes Exposed to Oil

Empirical relationships between field-derived Leaf Area Index (LAI) and Leaf Angle Distribution (LAD) and polarimetric synthetic aperture radar (PolSAR) based biophysical indicators were created and applied to map Gift Card S.alterniflora marsh canopy structure.PolSAR and field data were collected near concurrently in the summers of 2010, 2011, and

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