Results 131 to 140 of about 13,208 (247)
Time-updated explainable machine learning predicts short-term mortality in peritoneal dialysis patients. [PDF]
Wang Q, Ding Y, Luo Q, Wan S, Zhang Y.
europepmc +1 more source
Dust Layer Height Leads Atmospheric Boundary Layer Height by 3 hr Over the Taklimakan Desert
Abstract The vertical distribution of dust modulates its radiative forcing and long‐range transport, yet the diurnal relationship between dust layer height (DLH) and atmospheric boundary layer height (ABLH) remains poorly constrained by observations.
Xingran Li +9 more
wiley +1 more source
Correction: Prediction of estimated glomerular filtration rate slope and kidney prognosis of patients with chronic kidney disease. [PDF]
Nagasu H +8 more
europepmc +1 more source
Abstract Background Accurate and rapid diagnosis of meniscal tears is crucial for effective management of sports‐related injuries and degenerative knee disorders. Magnetic resonance imaging (MRI) is widely used for meniscus evaluation; however, manual interpretation is time‐consuming and subject to inter‐observer variability.
Ebubekir Seyyarer +2 more
wiley +1 more source
Multidomain prediction of education-stratified MoCA-defined mild cognitive impairment in community-dwelling older adults in urban China. [PDF]
Wu Z, Zhang F, Zhao F.
europepmc +1 more source
ABSTRACT Background Spontaneous intracerebral hemorrhage (ICH) is associated with high risks of mortality and disability, yet early and accurate outcome prediction remains challenging. This study systematically evaluated the performance of machine learning (ML) models in predicting key adverse outcomes (hematoma expansion [HE], poor functional outcome,
Qi Deng +7 more
wiley +1 more source
LightGBM-Based Classification of Heart Failure Phenotypes Using Morpho-Energy Features from High-Resolution ECG. [PDF]
Gader MA +3 more
europepmc +1 more source
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations such as XGBoost and pGBRT. Although many engineering optimizations have been adopted in these implementations, the efficiency and scalability are still unsatisfactory when the feature dimension is high and data size is large.
Guolin Ke +7 more
openaire +2 more sources
ABSTRACT Introduction The 2021 WHO classification reclassified “IDH‐mutant glioblastoma (GBM)” as “Astrocytoma, IDH‐mutant, grade 4.” This study aims to provide real‐world validation of this reclassification using the specific ICD‐O‐3 code (9445/3) from the Surveillance, Epidemiology, and End Results (SEER) “Transition Era” (2018–2022) and develop a ...
Dewei Du +5 more
wiley +1 more source

