Results 171 to 180 of about 2,142,422 (318)
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
Limitations of Linear Dimensional Reduction Methods in Chronic Obstructive Pulmonary Disease Phenotyping. [PDF]
Takefuji Y.
europepmc +1 more source
Controlling for sparsity in sparse factor analysis models: adaptive latent feature sharing for piecewise linear dimensionality reduction [PDF]
Adam Farooq +3 more
openalex +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
Reply to Takefuji: Limitations of Linear Dimensional Reduction Methods in Chronic Obstructive Pulmonary Disease Phenotyping. [PDF]
Bell AJ, Zinovyev A, Gorban AN.
europepmc +1 more source
Dimension Reduction Methods on High Dimensional Streaming Data with Concept Drift
Cheong Hee Park
openalex +1 more source
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts [PDF]
Gladys M. Hilasaca +4 more
openalex +1 more source
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
N-Dimensional Reduction Algorithm for Learning from Demonstration Path Planning. [PDF]
Manrique-Cordoba J +2 more
europepmc +1 more source

