Results 151 to 160 of about 202,004 (267)
The mechanobiological basis of atherosclerotic progression and its contribution to spatial and temporal heterogeneity remain incompletely understood. Spatially resolved AFM measurements revealed that plaque formation and distinct regions (cap fibrosis, intimal fibrosis, and lipid‐rich core) exhibit heterogeneous elastic modulus and viscoelastic ...
Yidan Zhou +13 more
wiley +1 more source
Data-driven explainable chronic kidney disease detection using RF based data imputation and meta-ensemble learning. [PDF]
Gupta R +6 more
europepmc +1 more source
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao +15 more
wiley +1 more source
Missing data imputation of climate time series: A review. [PDF]
Alejo-Sanchez LE +7 more
europepmc +1 more source
Across six multinational cohorts, higher triglyceride–glucose index values are consistently associated with lower prevalent and incident anemia, despite their established adverse cardiometabolic significance. This inverse relationship varies across inflammatory, cardiovascular, and renal contexts, suggesting that glucose–lipid metabolic status carries ...
Guosong Jiang +13 more
wiley +1 more source
Spatiotemporal dependency data imputation for long-term health monitoring of concrete arch bridges. [PDF]
Longji Z +4 more
europepmc +1 more source
Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse. [PDF]
Fan M, Peng X, Niu X, Cui T, He Q.
europepmc +1 more source
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin +6 more
wiley +1 more source
HMLA: A hybrid machine learning approach for enhancing stroke prediction models with missing data imputation techniques. [PDF]
Singh MS +3 more
europepmc +1 more source
A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset. [PDF]
Gan Q, Gong L, Hu D, Jiang Y, Ding X.
europepmc +1 more source

