Results 161 to 170 of about 392,357 (290)
Dimensionality reduction techniques in pupillometry research: A primer for behavioral scientists. [PDF]
Castellotti S +3 more
europepmc +1 more source
A paper quality and comment consistency detection model based on feature dimensionality reduction
Xinlei Sheng +4 more
openalex +1 more source
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
CellMentor: cell-type aware dimensionality reduction for single-cell RNA-sequencing data. [PDF]
Hevdeli O, Petrenko E, Aran D.
europepmc +1 more source
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli +8 more
wiley +1 more source
Improving efficiency in smart grid monitoring using hybrid classification and dimensionality reduction. [PDF]
Kumar TS, Kesavaraja D.
europepmc +1 more source
High-Order CPD Estimation with Dimensionality Reduction Using a Tensor Train Model
Yassine Zniyed +3 more
openalex +2 more sources
Objective Although treat‐to‐target urate‐lowering therapy (ULT) is endorsed as best practice in gout management, limited data exist on its impact on health‐related quality of life (HRQoL). We assessed the impact of treat‐to‐target ULT on HRQoL among participants receiving protocolized gout care, identifying factors associated with HRQoL and HRQoL ...
Austin Barry +16 more
wiley +1 more source
New anisotropic sudden singularities and dimensional reduction [PDF]
John D. Barrow
openalex +1 more source
Objective A leading cause of death among patients with scleroderma (SSc), interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M. Padilla +13 more
wiley +1 more source

