New research from IBM using electronic health record data and a new risk scoring process supported with machine learning technology is being used to generate a post-discharge mortality prediction model for patients with a cirrhosis-related admission. Nine variables are the most effective predictors for 90-day mortality, which can save lives, researchers note in a study available here.
New research from IBM using electronic health record data and a new risk scoring process supported with machine learning technology is being used to generate a post-discharge mortality prediction model for patients with a cirrhosis-related admission. Nine variables are the most effective predictors for 90-day mortality, which can save lives, researchers note in a study available here.
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