Results 61 to 70 of about 3,127 (217)

Leveraging Prompt and Top-K Predictions with ChatGPT Data Augmentation for Improved Relation Extraction

Applied Sciences, 2023
Relation extraction tasks aim to predict the type of relationship between two entities from a given text. However, many existing methods fail to fully utilize the semantic information and the probability distribution of the output of pre-trained language
Ping Feng, Hang Wu, Ziqian Yang, Yunyi Wang, Dantong Ouyang   +4 more
doaj   +1 more source

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

Leukemia and Exposure to Potential Benzene Sources in Children From the Mexico City Metropolitan Area, 2010–2021: A Geospatial Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita, Norma Candelaria López Santiago, Claudia Maria García Cuellar, Karla Maldonado Silva, Nancy Reynoso Noverón, Leticia Hernández Cadena   +5 more
wiley   +1 more source

NAS-CRE: Neural Architecture Search for Context-Based Relation Extraction

Applied Sciences
Relation extraction, a crucial task in natural language processing (NLP) for constructing knowledge graphs, entails extracting relational semantics between pairs of entities within a sentence.
Rongen Yan, Dongmei Li, Yan Wu, Depeng Dang, Ye Tao, Shaofei Wang   +5 more
doaj   +1 more source

Distant Supervision for Relation Extraction with Ranking-Based Methods

Entropy, 2016
Relation extraction has benefited from distant supervision in recent years with the development of natural language processing techniques and data explosion.
Yang Xiang, Qingcai Chen, Xiaolong Wang, Yang Qin   +3 more
doaj   +1 more source

Psychosocial Functioning After Pediatric Bone Sarcoma: Generic and Survivor‐Specific Outcomes in Adolescent and Young Adult Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek, Heleen Maurice‐Stam, Laura R. Beek, Jennifer van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff‐Lentink, Alied M. van der Aa‐van Delden, Anne Westerweel, Marloes van Gorp, Hendrik W. B. Schreuder, Lianne M. Haveman, W. Peter Bekkering, Leonie G. Tigelaar, Johannes H. M. Merks, Martha A. Grootenhuis   +14 more
wiley   +1 more source

Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss

Entropy, 2019
Drug-drug interactions (DDIs) may bring huge health risks and dangerous effects to a patient’s body when taking two or more drugs at the same time or within a certain period of time.
Xia Sun, Ke Dong, Long Ma, Richard Sutcliffe, Feijuan He, Sushing Chen, Jun Feng   +6 more
doaj   +1 more source

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

Adversarial Training for Relation Extraction [PDF]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Adversarial training is a mean of regularizing classification algorithms by generating adversarial noise to the training data. We apply adversarial training in relation extraction within the multi-instance multi-label learning framework. We evaluate various neural network architectures on two different datasets.
Yi Wu 0013, David Bamman, Stuart Russell 0001   +2 more
openaire   +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