Results 51 to 60 of about 6,614,488 (283)

Ewing Sarcoma in Infants and Children Under 2 Years of Age: A French Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ewing sarcoma, the second most common primary bone cancer in children, requires intensive treatment that may lead to significant long‐term sequelae, particularly in infants. We retrospectively analyzed data from 1621 French patients treated between 1988 and 2015 within the EW88/93/97 or EE99 trials, focusing on 17 infants diagnosed before 24 ...
Elodie Verdier, Nathalie Cozic, Marie‐Dominique Tabone, Gaelle Pierron, Perrine Marec‐Berard, Sarah Winter, Gabriel Revon‐Rivière, Cyril Lervat, Dominique Plantaz, Marie‐Pierre Castex, Gregory Guimard, Estelle Thebaud, Stephanie Proust, Laure Saumet, Natacha Entz‐Werle, Sophie Taque, Cécile Vérité, Marta Jimenez, Nathalie Gaspar   +18 more
wiley   +1 more source

A dockerized framework for hierarchical frequency-based document clustering on cloud computing infrastructures

Journal of Cloud Computing: Advances, Systems and Applications, 2020
Scalable big data analysis frameworks are of paramount importance in the modern web society, which is characterized by a huge number of resources, including electronic text documents.
Maria Th. Kotouza, Fotis E. Psomopoulos, Pericles A. Mitkas   +2 more
doaj   +1 more source

Using Stream Features for Instant Document Filtering [PDF]

, 2012
In this paper, we discuss how event processing technologies can be employed for real-time text stream processing and information filtering in the context of the TREC 2012 microblog task.
Wolff, Christian, Bauer, Andreas
core   +2 more sources

Provider and Parent Perspectives on Prioritizing the “Asking and Monitoring” Pediatric Cancer Psychosocial Standards of Care

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families (“Standards”) are evidence‐based guidelines for psychosocial care in pediatric oncology. Care related to the three “Asking and Monitoring” Standards—Assessment of Psychosocial Needs, Assessment of Financial Needs, and Monitoring Neurocognitive Problems ...
Julia B. Tager, Natalie Koskela‐Staples, Emily M. Pariseau, Michele Scialla, Kimberly Buff, Lori Wiener, Victoria Sardi Brown, Anne E. Kazak, Kimberly S. Canter   +8 more
wiley   +1 more source

Semantic argument frequency-based multi-document summarization [PDF]

2009 24th International Symposium on Computer and Information Sciences, 2009
Semantic Role Labeling (SRL) aims to identify the constituents of a sentence, together with their roles with respect to the sentence predicates. In this paper, we introduce and assess the idea of using SRL on generic Multi-Document Summarization (MDS).
Aksoy, Cem, Buğdaycı, Ahmet, Gür, Tunay, Uysal, İbrahim, Can, Fazlı   +4 more
openaire   +2 more sources

Safety and Effectiveness of a High‐Dose, Tailored Tissue Plasminogen Activator Therapy Protocol: A Joint Pediatric Hematology and Cardiac ICU Quality Improvement Initiative Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak, Oded Gilad, Yael Feinstein, Sigal Nakav, Ofer Schiller, Joanne Yacobovich   +5 more
wiley   +1 more source

Detecting Fake News in Social Media Using Voting Classifier

IEEE Access, 2021
The availability of social media, blogs, and websites to everyone creates a lot of problems. False news is a critical issue that can affect individuals or entire countries. Fake news can be created and shared all over the world.
Eman Elsaeed, Osama Ouda, Mohammed M. Elmogy, Ahmed Atwan, Eman El-Daydamony   +4 more
doaj   +1 more source

Document Similarity Using Term Frequency-Inverse Document Frequency Representation and Cosine Similarity

Journal of Dinda : Data Science, Information Technology, and Data Analytics
Document similarity is a fundamental task in natural language processing and information retrieval, with applications ranging from plagiarism detection to recommendation systems. In this study, we leverage the term frequency-inverse document frequency (TF-IDF) to represent documents in a high-dimensional vector space, capturing their unique content ...
Marna Marna, Fitriyanti Fitriyanti, Eka Pebriyanto, Adi Widianto   +3 more
openaire   +1 more source

Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega, Daniel J. Indelicato, Jeanette Parkes, Natia Esiashvili, Josué Hernández Benítez, Miriam Mikhail‐Lette, Olivera Cirajc Bjelac, Daniel Berger, Eva Ciurana, Yavuz Anacak, Lisbeth Cordero‐Mendez   +10 more
wiley   +1 more source

Frequency Distribution Fitting for Electronic Documents

International Journal of Applied Sciences and Smart Technologies, 2021
Studies of frequency distributions of natural language elements have identified some distributions that offer a good fit. Using electronic documents, we show that some of these distributions cannot be used to model the frequency of bytes in electronic documents even if these documents represent natural language documents.
openaire   +3 more sources