Results 211 to 220 of about 1,216,046 (262)

Mapping the Social Network Structure and Composition of Black Individuals With Rheumatic and Musculoskeletal Conditions

Arthritis Care &Research, EarlyView.
Objective Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi, Amar Dhand, Leah Santacroce, Neil Pillai, Komel Safdar, Mia T. Chandler, Ariel Childs, Monica Crespo‐Bosque, Gina Curry, Mary Dollear, Alice Eggleston, Daniel Erickson, Dieufort Fleurissaint, Denice Garrett, Gail Granville, Tyler Green, Magdalena Hamielec, Elena Losina, Karen Mancera‐Cuevas, Mary Ann Nelson, Chisa Nosamiefan, Bisola Ojikutu, Tonya S. Roberson, Mary Beth Son, Marie Jacques Toussaint, Michael York, Rosalind Ramsey‐Goldman, Candace H. Feldman   +27 more
wiley   +1 more source

Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns

Arthritis Care &Research, Accepted Article.
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen, Yasuo Nagafuchi, Kristina Lend, Seyam Alemyar, Herman Kasper Glas, Gerdur Gröndal, Bjorn Gudbjornsson, Espen A. Haavardsholm, Kim Hørslev Petersen, Jon Lampa, Merete Lund Hetland, Dan Nordström, Mike Nurmohamed, Mikkel Østergaard, Anna Rudin, Marte Schrumpf Heiberg, Tuulikki Sokka‐Isler, Till Uhlig, Josien Veris‐van Dieren, Ronald van Vollenhoven, Tom Huizinga, Marcel JT Reinders, Sytske Anne Bergstra, Erik van den Akker, Rachel Knevel   +24 more
wiley   +1 more source

Brain Activity is Influenced by How High Dimensional Data are Represented: An EEG Study of Scatterplot Diagnostic (Scagnostics) Measures. [PDF]

J Healthc Inform Res
Etemadpour R, Shintree S, Shereen AD.
europepmc   +1 more source

Inflammation Unchecked: Concurrent Kawasaki Disease and Stevens‐Johnson Syndrome in an 18‐Month‐Old Child

Arthritis Care &Research, EarlyView.
Catherine Deffendall, Jodi Backalar, Elizabeth Acevedo Zapata, Adriana Della Porta, Lorin Bibb, Tyler Reese, Charlotte M. Brown   +6 more
wiley   +1 more source

Numerically stable locality-preserving partial least squares discriminant analysis for efficient dimensionality reduction and classification of high-dimensional data. [PDF]

Heliyon
Ahmad NA.
europepmc   +1 more source

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Forecasting high-dimensional data

Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, 2010
We propose a method for forecasting high-dimensional data (hundreds of attributes, trillions of attribute combinations) for a duration of several months. Our motivating application is guaranteed display advertising, a multi-billion dollar industry, whereby advertisers can buy targeted (high-dimensional) user visits from publishers many months or even ...
Deepak Agarwal, Datong Chen, Long-ji Lin, Jayavel Shanmugasundaram, Erik Vee   +4 more
openaire   +2 more sources

Feature selection for high-dimensional data

Computational Management Science, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
DESTRERO A, MOSCI, SOFIA, DE MOL C, VERRI, ALESSANDRO, ODONE, FRANCESCA   +4 more
openaire   +4 more sources

Clustering High-Dimensional Data

2015
This chapter introduces the task of clustering, concerning the definition of a structure aggregating the data, and the challenges related to its application to the unsupervised analysis of high-dimensional data. In the recent literature, many approaches have been proposed for facing this problem, as the development of efficient clustering methods for ...
MASULLI, FRANCESCO, ROVETTA, STEFANO
openaire   +3 more sources

High-dimensional Data Cubes

ACM Transactions on Database Systems
We introduce an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. Our approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can be quickly approximated using statistical or linear programming techniques.
Sachin Basil John, Christoph Koch 0001, Peter Lindner 0001   +2 more
openaire   +3 more sources