Results 81 to 90 of about 208,309 (312)
Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants
ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann +17 more
wiley +1 more source
Recommender Systems and Collaborative Filtering
Recommender Systems (RSs) have become an essential tool for the information society [...]
Fernando Ortega, Ángel González-Prieto
doaj +1 more source
Measuring user similarity using electric circuit analysis: application to collaborative filtering. [PDF]
We propose a new technique of measuring user similarity in collaborative filtering using electric circuit analysis. Electric circuit analysis is used to measure the potential differences between nodes on an electric circuit.
Joonhyuk Yang +3 more
doaj +1 more source
Hydroxychloroquine Associated With Lower Glomerular Filtration Rate Decline in Lupus Nephritis
Objective Hydroxychloroquine (HCQ) protects kidney function in lupus nephritis (LN) by preventing flares, yet some cohort studies show no significant benefit in kidney function with HCQ. Clarifying these conflicting findings by showing early and long‐term benefits of HCQ on kidney function preservation is critical.
Shivani Garg +9 more
wiley +1 more source
Objective Asymptomatic hyperuricemia is a precursor of gout and is also associated with cardiovascular disease and chronic kidney disease. The aim of this study was to understand perceptions about asymptomatic hyperuricemia and views about urate‐lowering therapy in people with asymptomatic hyperuricemia. Methods Participants in a multinational study of
Nicola Dalbeth +19 more
wiley +1 more source
Heterogeneous Collaborative Filtering
Recommendation system is important to a content sharing/creating social network. Collaborative filtering is a widely-adopted technology in conventional recommenders, which is based on similarity between positively engaged content items involving the same users.
Liu, Yifang +5 more
openaire +2 more sources
An evolutionary approach for automating the selection of optimum Algorithm in Collaborative Filtering Recommender Systems [PDF]
mojdeh robati anaraki, nooshin riahi
openalex +1 more source
Objective This study aimed to characterize the pharmacokinetics, pharmacodynamics, safety, and exploratory efficacy of subcutaneous belimumab in pediatric patients with active systemic lupus erythematosus (SLE) receiving standard therapy. Methods This single‐arm, multicenter, open‐label trial (GSK study 200908; NCT04179032) used three‐weight‐band ...
Hermine I. Brunner +14 more
wiley +1 more source
Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Background Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined: 1) associations between economic insecurities and PROs; 2) the impact of screening and addressing economic insecurities during ...
Jay Patel +8 more
wiley +1 more source
Trust based collaborative filtering [PDF]
k-nearest neighbour (kNN) collaborative filtering (CF), the widely successful algorithm supporting recommender systems, attempts to relieve the problem of information overload by generating predicted ratings for items users have not expressed their ...
Capra, L., Hailes, S., Lathia, N.
core +1 more source

