Results 261 to 270 of about 3,136,120 (312)

Prediction of Pellet Durability Index in a commercial feed mill using multiple linear regression with variable selection and dimensionality reduction. [PDF]

J Anim Sci
You J, Tulpan D, Krziyzek C, Ellis JL.
europepmc   +1 more source

Treating lupus nephritis patients to lupus low disease activity reduces renal relapse and preserves long‐term kidney function

Arthritis Care &Research, Accepted Article.
Objective Lupus low disease activity state (LLDAS) is a validated treatment target in systemic lupus erythematosus (SLE) but limited studies have explored the role of LLDAS in lupus nephritis (LN). This study aims to investigate the frequency and predictors of LLDAS attainment, and its benefit on LN relapse and renal function preservation in patients ...
Chak Kwan Cheung, Desmond YH Yap, KL Lee, Philip H Li, Iris YK Tang, Chak Sing Lau, Shirley CW Chan   +6 more
wiley   +1 more source

Linear-regression-based algorithms can succeed at identifying microbial functional groups despite the nonlinearity of ecological function. [PDF]

PLoS Comput Biol
Zhao Y, Cordero OX, Tikhonov M.
europepmc   +1 more source

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

Arthritis Care &Research, Accepted Article.
Background 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 a scleroderma patient's ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

Investigating Maternal Perception of Control and Support in the Postpartum Period and Influencing Factors in Childbirth: A Multiple Linear Regression Analysis Model. [PDF]

Nurs Open
Topçu TY, Aydin R, Aktaş S.
europepmc   +1 more source

Hydroxychloroquine Associated with Lower Glomerular Filtration Rate Decline in Lupus Nephritis

Arthritis Care &Research, Accepted Article.
Background 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. Therefore, we analyzed data from our
Shivani Garg, Brad Rovin, Brad C. Astor, Tripti Singh, Fauzia Hollnagel, Megan Kuik, Lexie Kolton, Callie Saric, S. Sam Lim, Christie M. Bartels   +9 more
wiley   +1 more source

Hemodynamic phenotypes in chronic kidney disease patients based on linear regression of blood pressure parameters. [PDF]

J Clin Hypertens (Greenwich)
Cierpka-Kmieć K, Khursa R, Hering D.
europepmc   +1 more source

Comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs. [PDF]

Trop Anim Health Prod
Kozaklı Ö, Ceyhan A, Noyan M.
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Publisher Correction: Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression. [PDF]

Sci Rep
Hafezi SG, Sahranavard T, Kooshki A, Hosseini M, Mansoori A, Fakhrian EA, Rezaeifard H, Ghamsary M, Esmaily H, Ghayour-Mobarhan M.   +9 more
europepmc   +1 more source