Results 51 to 60 of about 3,082,391 (312)

Preoperative Cytopenia in Patients Affected by High‐Risk Neuroblastoma: Just a Matter of Platelets?

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims In patients affected by high‐risk neuroblastoma (HR‐NB), complete macroscopic resection (CMR) is associated with better outcomes. These patients are often cytopenic due to intensive induction regimens. The aim of the present study is to assess the impact of preoperative cytopenia on surgical outcome in patients with HR‐NB ...
Giorgio Persano   +13 more
wiley   +1 more source

Requirements for Information Extraction for Knowledge Management [PDF]

open access: yes, 2003
Knowledge Management (KM) systems inherently suffer from the knowledge acquisition bottleneck - the difficulty of modeling and formalizing knowledge relevant for specific domains.
Cimiano, Philipp   +6 more
core  

Identifying Chemical Reactions and Their Associated Attributes in Patents

open access: yesFrontiers in Research Metrics and Analytics, 2021
Chemical patents are an essential source of information about novel chemicals and chemical reactions. However, with the increasing volume of such patents, mining information about these chemicals and chemical reactions has become a time-intensive and ...
Darshini Mahendran   +4 more
doaj   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed   +5 more
wiley   +1 more source

Map as a Service: A Framework for Visualising and Maximising Information Return from Multi-ModalWireless Sensor Networks

open access: yesSensors, 2015
This paper presents a distributed information extraction and visualisation service, called the mapping service, for maximising information return from large-scale wireless sensor networks.
Mohammad Hammoudeh   +4 more
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser   +6 more
wiley   +1 more source

A Study on the Extraction of Satellite Image Information for Two Types of Coastal Fishery Facility Fish Cages and Rafts Influenced by Clouds and Vessels

open access: yesJournal of Marine Science and Engineering
Research on the extraction of satellite information for the areas of coastal fish cages and rafts is important to quickly grasp the pattern and structure of the coastal fishery aquaculture industry.
Ao Chen   +4 more
doaj   +1 more source

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

open access: yesPediatric Blood &Cancer, EarlyView.
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

FrameNet CNL: a Knowledge Representation and Information Extraction Language

open access: yes, 2014
The paper presents a FrameNet-based information extraction and knowledge representation framework, called FrameNet-CNL. The framework is used on natural language documents and represents the extracted knowledge in a tailor-made Frame-ontology from which ...
Barzdins, Guntis
core   +1 more source

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