Healio

‘First of its kind’ blood test accurately identifies endometriosis

A noninvasive blood-based test identified cases of endometriosis that were missed by imaging, data at the Endocrine Society ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
IEEE

Multistrategy Multi-objective Evolutionary Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification

Abstract: Hyperspectral images (HSI) contain abundant spectral information, but also exhibit significant redundancy. Therefore, selecting bands that possess high information content and low inter-band ...
IEEE

Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...