Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...

SCHAFFHAUSEN, Switzerland--(BUSINESS WIRE)--Aptiv PLC (NYSE: APTV), a global industrial technology company, today announced the launch of its Advanced Occupancy Classification (AOC) system, the ...

Abstract: Respiratory sounds reveal important information of the lungs of patients. However, the analysis of lung sounds depends significantly on the medical skills and diagnostic experience of the ...

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...

In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their ...

Introduction: Heart murmurs are abnormal sound signals generated by turbulent blood flow and are closely associated with specific heart disorders. Current methods to detect and qualify murmurs do not ...

Unlock the potential of data-driven intelligence with our machine learning development service. Whether you require data engineering expertise, need a pre-trained LLM fine-tuned, or seek to build and ...

A team of researchers from British universities has trained a deep learning model that can steal data from keyboard keystrokes recorded using a microphone with an accuracy of 95%. When Zoom was used ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...