Results 141 to 150 of about 154,181 (262)
A CLIP-based framework for multiclass lung histopathology classification with prompt engineering and class-imbalance-aware focal optimization. [PDF]
Munawar S +4 more
europepmc +1 more source
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie +3 more
wiley +1 more source
Evaluating XAI techniques under class imbalance using CPRD data. [PDF]
Rai T +7 more
europepmc +1 more source
Objective This study aimed to investigate potential moderators influencing the effects of manual therapy and exercise therapy on pain and functional outcomes in individuals with knee and/or hip osteoarthritis, using data from the MOA trial. This is a secondary analysis of data from the MOA trial that compares the clinical effectiveness of manual ...
Daniel Cury Ribeiro +2 more
wiley +1 more source
Beyond Area Under the Receiver Operating Characteristic Curve: Evaluating Predictive Performance Metrics Under Class Imbalance in Real-World Clinical Data. [PDF]
Ventura VDGJ +11 more
europepmc +1 more source
Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among patients receiving long‐term HCQ with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain optical coherence tomography (SD‐OCT) for screening ...
Narsis Daftarian +4 more
wiley +1 more source
Resampling methods for class imbalance in clinical prediction models: A scoping review protocol. [PDF]
Abdelhay O +3 more
europepmc +1 more source
Batch-balanced focal loss: a hybrid solution to class imbalance in deep learning. [PDF]
Singh J +6 more
europepmc +1 more source
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source
Addressing Class Imbalance in Fetal Health Classification: Rigorous Benchmarking of Multi-Class Resampling Methods on Cardiotocography Data. [PDF]
Hawrami ZSM, Cengiz MA, Dünder E.
europepmc +1 more source

