Results 31 to 40 of about 601,118 (275)
Background The objective of this research is to compare the relational and non-relational (NoSQL) database systems approaches in order to store, recover, query and persist standardized medical information in the form of ISO/EN 13606 normalized Electronic
Ricardo Sánchez-de-Madariaga +6 more
doaj +1 more source
In data handling, security and privacy are essential for database administrators and users that own their information. Information about security models or architectures was analyzed for databases that minimize Cyber Attacks. The problem is that security
Segundo Moises Toapanta +3 more
doaj +1 more source
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd +3 more
wiley +1 more source
The data paper is becoming a popular way for researchers to publish their research data. The growing numbers of data papers and journals hosting them have made them an important data source for understanding how research data is published and reused. One
Chenyue Jiao, Kai Li, Zhichao Fang
doaj +1 more source
A Comprehensive Spark-Based Layer for Converting Relational Databases to NoSQL
Currently, the continuous massive growth in the size, variety, and velocity of data is defined as big data. Relational databases have a limited ability to work with big data.
Manal A. Abdel-Fattah +2 more
doaj +1 more source
ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell +14 more
wiley +1 more source
Text Classification Using Document-Relational Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have received considerable attention in the field of artificial machine intelligence (AMI) and natural language processing research because they can build more sophisticated accompanying graph structures than ...
Chongyi Liu, Xiangyu Wang, Honglei Xu
doaj +1 more source
Graphic Symbol Recognition using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image analysis and is at heart of most graphic recognition systems. Our method uses
Brouard, Thierry +2 more
core +2 more sources
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher +8 more
wiley +1 more source
Content enrichment with expressive document modelling to leverage the understanding of unstructured data [PDF]
Most information in an enterprise is in the form of unstructured data which is usually managed using a document database. One of the key challenges is to define a generalized data model for this unstructured data and any information extracted from it ...
Selvaraj Ganesh +3 more
doaj +1 more source

