A novel hybrid interval prediction framework integrating multiobjective optimization and quantile deep learning for copper price prediction. [PDF]
Wang Y, Du P, Xu Y, Wang J.
europepmc +1 more source
Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen +11 more
wiley +1 more source
Carbon market price prediction in the Yangtze River Basin based on improved deep learning ensemble model with CEEMDAN and Attention-RNN. [PDF]
Lu Z, Cao Z, Xiang Z, Li J, Li M.
europepmc +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Perception and Prediction of Factors Influencing Carbon Price: Multisource, Spatiotemporal, Hierarchical Federated Learning Framework with Cross-Modal Feature Fusion. [PDF]
Wang P, Zhou X.
europepmc +1 more source
The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley +1 more source
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Attention-augmented hybrid CNN-LSTM model for social media sentiment analysis in cryptocurrency investment decision-making. [PDF]
Tiwari D +4 more
europepmc +1 more source
Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization
ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung +190 more
wiley +1 more source
Counterfactual Explanation-Based Cryptocurrency Price Prediction. [PDF]
Luo X, Yin W.
europepmc +1 more source

