Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
In a long-running collaboration with GE Aerospace, researchers at the University of Melbourne in Australia have been steadily ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
People management is just one such skill that Gilson deploys across his role as a senior data science manager, as part of a wider strategy of skill implementation.
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Morning Overview on MSN
Florida gets its 1st quantum computer with FAU’s 4,400-qubit beast
Florida has entered the quantum era in a single, very tangible step: a 4,400‑qubit machine is being installed on the Boca ...
Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
Abstract: This article applies modern approaches of artificial intelligence and machine learning technologies for the early detection and diagnosis of chronic kidney disease based on clinical data.
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