Results 41 to 50 of about 3,270,134 (279)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 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
A Link Prediction Method Based on Neural Networks
Applied Sciences, 2021 Link prediction to optimize network performance is of great significance in network evolution. Because of the complexity of network systems and the uncertainty of network evolution, it faces many challenges.
Keping Li, Shuang Gu, Dongyang Yan
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
Link Prediction in Bibliographic Networks [PDF]
, 2020 Analysing bibliographic networks is important for understanding the process of scientific publications. A bibliographic network can be studied using the framework of Heterogeneous Information Networks (HINs). In this paper, we comparatively evaluate two different algorithms for link prediction in HINs on an instance of a bibliographic network.
Pantelis Chronis +3 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Link Prediction with Hypergraphs via Network Embedding
Applied Sciences, 2022 Network embedding is a promising field and is important for various network analysis tasks, such as link prediction, node classification, community detection and others.
Zijuan Zhao, Kai Yang, Jinli Guo
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 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