Results 111 to 120 of about 216,838 (308)
This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series analysis and machine learning models in financial markets before and
Kurban Kotan +2 more
doaj +1 more source
Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
TREB: a BERT attempt for imputing tabular data imputation
12 pages, 7 ...
Shuyue Wang +4 more
openaire +2 more sources
There are ten leukocyte immunoglobulin (Ig)-like receptor (LILR) genes, i.e., five genes encoding activating receptors (LILRA1, LILRA2, LILRA4, LILRA5, and LILRA6) characterized by their truncated cytoplasmic tails, and five genes encoding inhibitory ...
Seik-Soon Khor +9 more
doaj +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
Longitudinal electronic health records are a valuable resource for research because they contain information on many patients over long follow-up periods.
Welch, CA
core
Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus
Objective Individuals with systemic lupus erythematosus (SLE) can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), and FS in a national SLE sample.
Baljeet Rai +7 more
wiley +1 more source
Xputer: bridging data gaps with NMF, XGBoost, and a streamlined GUI experience
The rapid proliferation of data across diverse fields has accentuated the importance of accurate imputation for missing values. This task is crucial for ensuring data integrity and deriving meaningful insights.
Saleena Younus +9 more
doaj +1 more source
MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors
In this paper we describe MIDAS: a SAS macro for multiple imputation using distance aided selection of donors which implements an iterative predictive mean matching hot-deck for imputing missing data.
Juned Siddique, Ofer Harel
core
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients who were newly diagnosed with PsA between 2013 and 2023.
Batoul Hojeij +11 more
wiley +1 more source

