For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

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A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

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The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

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Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...