Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

If African governments rely primarily on foreign AI-native exploration firms, the informational premium the refined ...

A recent INMA Webinar featured Erica Greene, director of engineering for machine learning at Yahoo News, and Ritvvij Parrikh, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This study aims ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

Abstract: In modern healthcare, predicting diseases and identifying their underlying causes are crucial areas of study. This paper proposes a novel feature selection method based on entropy scores and ...