Results 81 to 90 of about 2,031,288 (321)

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

Pediatric 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, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Updates on placental studies in bitches [PDF]

Ciência Rural
: The placenta, despite being a temporary organ, is essential for the development and survival of the conceptus. During pregnancy, it performs essential functions, such as nutrition, protection, circulation, excretion, and secretion.
Sarah Fernanda Salgado Tavares Farias, Lúcia Daniel Machado da Silva   +1 more
doaj   +1 more source

Topic-Based Influence Computation in Social Networks under Resource Constraints [PDF]

, 2018
As social networks are constantly changing and evolving, methods to analyze dynamic social networks are becoming more important in understanding social trends.
Bingöl, Kaan, Eravcı, Bahaeddin, Etemoğlu, Çağrı Özgenç, Ferhatosmanoğlu, Hakan, Gedik, Buğra   +4 more
core   +2 more sources

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

Pediatric 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, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

Simulation technology use in disaster medicine education and training: a scoping review

Frontiers in Disaster and Emergency Medicine
BackgroundDisaster medicine (DM) education has increasingly turned to simulation technologies to address the limitations of traditional training methods.
José García Ulerio, José García Ulerio, Mouhanad Al Khatib, Bassma Aammar, Bassma Aammar, Luca Ragazzoni, Luca Ragazzoni, Francesco Barone-Adesi, Francesco Barone-Adesi, Marta Caviglia, Marta Caviglia   +10 more
doaj   +1 more source

Spatial-Temporal Topic Model for Cold-Start Event Recommendation

IEEE Access, 2020
Event recommendation has attracted an increasing attention with the popularity of event-based social networks (EBSNs). The previous studies mainly focus on exploiting various contextual information to alleviate the cold-start problem in event ...
Ruichang Li, Shulin Lv, Honglei Zhu, Xuekun Song   +3 more
doaj   +1 more source

Embedding Diversity: Communication and Label Concept for Underutilized Crops – Checklist for your First Evaluation [PDF]

, 2018
There are some very successful cases of marketing of underutilized crops in European countries. Examples are the marketing of rare varieties in Austrian and Swiss supermarkets.
Förster, Iris, Holzherr, Philipp, Oehen, Bernadette   +2 more
core  

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source

Exact Computation of Influence Spread by Binary Decision Diagrams

, 2017
Evaluating influence spread in social networks is a fundamental procedure to estimate the word-of-mouth effect in viral marketing. There are enormous studies about this topic; however, under the standard stochastic cascade models, the exact computation ...
Goldenberg J., Hardy G., Inoue K., Inoue Y., Ishihata M., Ishihata M., Kawahara J., Ohsaka N., Yan Z.   +8 more
core   +1 more source

Supporting systematic reviews using LDA-based document representations [PDF]

, 2015
BACKGROUND: Identifying relevant studies for inclusion in a systematic review (i.e. screening) is a complex, laborious and expensive task. Recently, a number of studies has shown that the use of machine learning and text mining methods to automatically ...
AM Cohen, AM Cohen, BC Wallace, BC Wallace, C Counsell, CC Chang, D Demner-Fushman, DM Blei, E Linstead, F Boudin, FR Octaviano, G Maskeri, J García Adeva, K Frantzi, K Henderson, K Romero Felizardo, L Hunter, M Barza, M Fiszman, M Miwa, MW Berry, O Frunza, R Akbani, RA Redner, S Ananiadou, S Arora, S Jonnalagadda, S Kotsiantis, S Matwin, SK Lukins, T Bekhuis, T Bekhuis, T Bekhuis   +32 more
core   +1 more source