Improved visualization of high-dimensional data using the distance-of-distance transformation. [PDF]
Liu J, Vinck M.
europepmc +1 more source
Classification of high dimensional data: High Dimensional Discriminant Analysis
We propose a new method of discriminant analysis, called High Dimensional Discriminant Analysis (HHDA). Our approach is based on the assumption that high dimensional data live in dierent subspaces with low dimensionality. Thus, HDDA reduces the dimension for each class independently and regularizes class conditional covariance matrices in order to ...
Bouveyron, Charles +2 more
openaire +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
Detecting Interactions in High-Dimensional Data Using Cross Leverage Scores. [PDF]
Teschke S, Ickstadt K, Munteanu A.
europepmc +1 more source
Extraction of Important Factors in a High-Dimensional Data Space: An Application for High-Growth Firms. [PDF]
Wada T, Takayasu H, Takayasu M.
europepmc +1 more source
Objective The aim of this systematic review was to synthesize the economic impact of rheumatoid arthritis (RA) on households, health systems, and society in low‐ and middle‐income countries (LMICs). Methods Electronic databases such as PubMed, Web of Science, and CINAHL were searched using keywords related to RA and cost of illness.
Tadesse Gebrye +6 more
wiley +1 more source
Simulation study to evaluate when Plasmode simulation is superior to parametric simulation in comparing classification methods on high-dimensional data. [PDF]
Stolte M +7 more
europepmc +1 more source
Tug of War games and PDEs on graphs with applications in image and high dimensional data processing. [PDF]
Ennaji H, Quéau Y, Elmoataz A.
europepmc +1 more source
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg +26 more
wiley +1 more source
Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data. [PDF]
Liu Q, Lee KH, Kang HB.
europepmc +1 more source

