Results 61 to 70 of about 255,061 (262)
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu +8 more
wiley +1 more source
Network Embedding-Aware Point-of-Interest Recommendation in Location-Based Social Networks
As one of the important techniques to explore unknown places for users, the methods that are proposed for point-of-interest (POI) recommendation have been widely studied in recent years.
Lei Guo +3 more
doaj +1 more source
Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study
ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham +7 more
wiley +1 more source
To further enhance the effectiveness of interactive recommendation for intercity social network communication, the study proposes a novel interactive recommendation model for intercity social network communication. This model focuses on point-of-interest
Gao Yanbo, Zhang Lin
doaj +1 more source
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
Heterogeneous Spatio-Temporal Graph Contrastive Learning for Point-of-Interest Recommendation
As one of the most crucial topics in the recommendation system field, point-of-interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks (GNNs) have been successfully used to model interaction
Jiawei Liu +8 more
doaj +1 more source
An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation
Point-of-interest (POI) recommendation is one of the fundamental tasks for location-based social networks (LBSNs). Some existing methods are mostly based on collaborative filtering (CF), Markov chain (MC) and recurrent neural network (RNN).
Chunyang Liu +5 more
doaj +1 more source
ABSTRACT Background Graft‐versus‐host disease (GvHD) remains one of the most significant complications of hematopoietic stem cell transplantation (HSCT). Abatacept, a selective T‐cell costimulation modulator, is a relatively novel prophylactic agent, though pediatric data remain limited.
Matthijs D. Kruizinga +3 more
wiley +1 more source
GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network
The advances of mobile equipment and localization techniques put forward the accuracy of the location-based service (LBS) in mobile networks. One core issue for the industry to exploit the economic interest of the LBSs is to make appropriate point-of ...
Shiwen Wu +4 more
doaj +1 more source
ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak +9 more
wiley +1 more source

