Researchers use machine learning to predict Covid-19 bacterial co-infection in patients ...Middle East

New Delhi, Feb 2 (IANS) The researchers from the University of Queensland, Australia, have used machine learning (ML) to help predict the risk of secondary bacterial infections in hospitalised Covid-19 patients. According to the study published in the journal The Lancet Microbe, the machine learning technique can help detect whether antibiotic use is critical for patients with these infections. “Estimates of the incidents of secondary bacterial infections in Covid-19 patients are broad, but in some studies, 100 per cent of fatal cases have suffered a bacterial co-infection,” said Dr Kirsty Short, Associate Professor at the University of Queensland. “To reduce the risk of bacterial co-infec

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Researchers use machine learning to predict Covid-19 bacterial co-infection in patients ...Middle East

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