Results 211 to 220 of about 88,907 (241)

Social network analysis for crime prediction under social computing and deep learning technology. [PDF]

Sci Rep
Cao X, Zhang L.
europepmc   +1 more source

The Renal Activity Index for Lupus Identifies Active Renal Disease and Treatment Response in Adult Patients With Systemic Lupus Erythematosus and Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective We evaluated the ability of the Renal Activity Index for Lupus (RAIL) to discriminate active lupus nephritis (LN) in adult patients with active systemic lupus erythematosus (SLE) and differentiate LN treatment response. Methods Urine samples from adults with biopsy‐proven active class III and IV LN from TULIP‐LN (active LN group ...
Hermine I. Brunner, Ellen M. Cody, Prasad Devarajan, Bin Huang, Chen Chen, Dominic Sinibaldi, Madhu Ramaswamy, Jacob Knagenhjelm, Frederick Jones, Philip Z. Brohawn, Raj Tummala, Catharina Lindholm, Wendy I. White   +12 more
wiley   +1 more source

Stability-Driven Osteoporosis Screening: Multi-View Consensus Feature Selection with External Validation and Sensitivity Analysis. [PDF]

J Clin Med
Waratamrongpatai W, Cholamjiak W, Eiamniran N, Udomluck P.   +3 more
europepmc   +1 more source

A Qualitative Analysis of Patient Perspectives and Preferences in Lupus Management to Guide Lupus Guidelines Development

Arthritis Care &Research, EarlyView.
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg, Izzy Hartel, Lisa R. Sammaritano, Anca Askanase, Bonnie L. Bermas, Maria Dall'Era, Alí Duarte‐García, Victoria P. Werth, Brad Rovin, Reem A. Mustafa, Amy S. Turner, Bené Williams, Brian L. Ung, Hiya Bhavsar, Monique C. Gore‐Massy, Nahirannette Pulido, Natacha Guerrero, Natalie M. Smith, Wambui Machua, Linda T. Hiraki, Mary Beth Son   +20 more
wiley   +1 more source

Interpretable machine learning for identifying adolescent obesity risk and identifying key determinants. [PDF]

Front Public Health
Huang L, Chen J.
europepmc   +1 more source

Integrated network pharmacology and comprehensive bioinformatics analysis to identify the mechanisms and molecular targets of ketamine in ischemic stroke-depression comorbidity. [PDF]

PLoS One
Shu Y, Guo Y, Xu S, He H, Zeng B, Yang Z, Gao W, Li J.   +7 more
europepmc   +1 more source

Finding the forest in the trees: Using machine learning and online cognitive and perceptual measures to predict adult autism diagnosis. [PDF]

Transl Psychiatry
Van der Burg E, Jertberg RM, Geurts HM, Chakrabarti B, Begeer S.   +4 more
europepmc   +1 more source

An interpretability heart disease prediction model based on stacking ensemble with SHAP. [PDF]

Front Mol Biosci
Chen Y, Chong L, Bao Z, Wang S, Wang Y, Feng Y.   +5 more
europepmc   +1 more source

Enhancing clinical insights in glioma grading using Bayesian Optimization and Explainable AI. [PDF]

J Genet Eng Biotechnol
Elsayad AM, Elsayad OA.
europepmc   +1 more source

Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]

Sci Rep
Saeed NH, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source