Results 251 to 260 of about 82,529 (316)
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decisionâmaking is a complex patientâcentred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, healthârisk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
CD39 mRNA therapy attenuates localized acute inflammation: A novel anti-inflammatory strategy using cationic nanoliposomes. [PDF]
Philosof NR +16 more
europepmc +1 more source
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
ABSTRACT Graph contrastive learning (GCL) relies on acquiring highâquality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source
Human rights violations reporting dataset. [PDF]
Djouvas C +3 more
europepmc +1 more source
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li +5 more
wiley +1 more source
Commentary: The influence of linear and nonlinear pedagogy on motor skill performance: the moderating role of adaptability. [PDF]
Praça GM +5 more
europepmc +1 more source
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang +5 more
wiley +1 more source
ABSTRACT Parameterâefficient fineâtuning (PEFT) has become a crucial paradigm for domain adaptation, achieving strong performance by updating only a small fraction of model parameters. Among various PEFT methods, lowârank adaptation (LoRA) is widely adopted due to its structural simplicity and computational efficiency.
Xu Luo +4 more
wiley +1 more source
Exploratory association between multimodal AI-derived digital biomarkers and in-hospital mortality in adult patients with pneumonia: A proof-of-concept study. [PDF]
HernĂĄndez-Arango A +13 more
europepmc +1 more source

