Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets
Credit: Tara Winstead from Pexels Fraud is widespread in the United States and increasingly driven by technology. For example, 93%...
Machine
A quantum inspired machine learning approach for multimodal Parkinson’s disease screening
Data descriptionWe utilized the mPower public research portal, which contains measurements from over 6,000 participants—both healthy and those affected by...
Identification of biomarkers associated with M1 macrophages in the ST-segment elevation myocardial infarction through bioinformatics and machine learning approaches
Inhomogeneity of DEGs in STEMI samplesWe confirmed the successful standardization of the GSE59867 dataset using the normalizeBetweenArrays function, as evidenced...
New algorithm unlocks the power of quantum machine learning
A new study targets feature selection, a key step in machine learning where the algorithm determines which parts of the...
A three-stage machine learning and inference approach for educational data
With the collection of student-level characteristics, there exists a range of machine learning algorithms that could make decent predictions based...
Machine learning in point-of-care testing: innovations, challenges, and opportunities
LFAsLFAs are widely used diagnostic tools for POCT due to their simplicity, rapid results, and cost-effectiveness. Typically, LFAs are developed...
