BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including dementia.

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Helicopters and small planes crisscrossing parts of Colorado’s skies this winter mark a key time of year when Colorado Parks ...

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Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...

A structured data ownership model—rooted in ICH GCP principles, supported by MHRA and FDA interpretations, and documented in validated system specifications—will enable sponsors to maintain compliance ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

A poor night’s sleep may do more than leave one tired the next day — it could also signal serious health risks years in advance. Researchers from Stanford Medicine have developed a new artificial ...