Results 41 to 50 of about 315,334 (257)

Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge, Maite E. Houwing, Rowena L. Grohssteiner, Ferdows Atiq, Sonja A. M. C. Teuben, Mirjam P. Fransen, Marjon H. Cnossen   +6 more
wiley   +1 more source

Neural network-based link prediction algorithm

网络与信息安全学报, 2018
To improve the difference existed in the link prediction accuracy and adaptability of different topology structure similarity based methods,a neural network-based link prediction algorithm,which fused similarity indices by neural network was proposed.The
Yonghao PAN, Hongtao YU, Shuxin LIU
doaj   +3 more sources

Ironic Medications: A Narrative‐Based Psycho‐Educational Intervention to Explore Patient–Provider Communication in Adolescents With Haematological Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa, Elena Pagani Bagliacca, Selena Russo, Giulia Rampoldi, Maria Grazia Strepparava, Adriana Cristina Balduzzi, Andrea Biondi, Marco Spinelli   +7 more
wiley   +1 more source

Link Prediction for Temporal Heterogeneous Networks Based on the Information Lifecycle

Mathematics, 2023
Link prediction for temporal heterogeneous networks is an important task in the field of network science, and it has a wide range of real-world applications.
Jiaping Cao, Jichao Li, Jiang Jiang
doaj   +1 more source

Incidence and Severity of Carboplatin‐Associated Hearing Loss in Children With Cancer Assessed by the SIOP Boston 2012 Ototoxicity Criteria

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Platinum‐based chemotherapy is known to cause severe and debilitating hearing loss, but unlike cisplatin, the true incidence of carboplatin‐induced hearing loss remains unclear. We evaluated functional hearing outcomes in children receiving carboplatin to determine the incidence and severity of ototoxicity. Procedure We identified a
Aniket Chawla, Sean Carter, Andrew Wood, Sandra Staffieri, Andrew Dodgshun, David D. Eisenstat, Michael Sullivan   +6 more
wiley   +1 more source

Re‐Irradiation in Pediatric Diffuse Midline Glioma: A Multi‐Institutional Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with recurrent diffuse midline gliomas (DMGs) have limited therapeutic options at recurrence. Re‐irradiation (RT2) may be used at progression, but with uncertainty about the benefit. Methods We conducted a multi‐institutional retrospective study of children aged < 18 with DMG treated at three centers (Toronto, Canada ...
Ajay Thomas Alex, Sean P. Hassan, Helen Benghiat, Liam Herbert, Jennifer Adamski, Shivani Bailey, Claire Esler, Louise Brookes, Molly Bamber, Grace Koudou, Karen Waite, Julie Bennett, Anirban Das, Derek S. Tsang   +13 more
wiley   +1 more source

Community-Aware Evolution Similarity for Link Prediction in Dynamic Social Networks

Mathematics
The link prediction problem is a time-evolving model in network science that has simultaneously abetted myriad applications and experienced extensive methodological improvement. Inferring the possibility of emerging links in dynamic social networks, also
Nazim Choudhury
doaj   +1 more source

Graph Neural Networks for Link Prediction

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
Graph Neural Networks (GNNs) belong to a class of deep learning methods that are specialized for extracting critical information and making accurate predictions on graph representations.
Alina Lazar
doaj   +1 more source

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko, Holger N. Lode, Alberto Garaventa, Carla Manzitti, Roberto Luksch, Dominique Valteau‐Couanet, Marion Gambart, John Anderson, Juliet Gray, Adela Canete, Lucas Moreno, Aleksandra Wieczorek, Cormac Owens, Shifra Ash, Isaac Yaniv, Genevieve Laureys, Hans Loibner, Katarzyna Śladowska, Ruth Ladenstein, Paweł Kawalec   +19 more
wiley   +1 more source

Improving embedding-based link prediction performance using clustering

Journal of King Saud University: Computer and Information Sciences
Incomplete knowledge graphs are common problem that can impair task accuracy. As knowledge graphs grow extensively, the probability of incompleteness increases.
Fitri Susanti, Nur Ulfa Maulidevi, Kridanto Surendro   +2 more
doaj   +1 more source