A novel early diagnostic framework for chronic diseases with class imbalance. [PDF]
Yuan X, Chen S, Sun C, Yuwen L.
europepmc +1 more source
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu +2 more
wiley +1 more source
The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study. [PDF]
Carriero A +5 more
europepmc +1 more source
A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique. [PDF]
Rao RS, Dewangan S, Mishra A, Gupta M.
europepmc +1 more source
Objectives While the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semi‐structured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
YOLOv8-TF: Transformer-Enhanced YOLOv8 for Underwater Fish Species Recognition with Class Imbalance Handling. [PDF]
Shah C +11 more
europepmc +1 more source
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection. [PDF]
Tusher EH +6 more
europepmc +1 more source

