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New neural network helps doctors explain relapses of heart failure patients

New neural network helps doctors explain relapses of heart failure patients

Patient data are a treasure trove for AI researchers. There's a problem though: many algorithms used to mine patient data act as black boxes, which makes their predictions often hard to interpret for doctors. Researchers from Eindhoven University of Technology (TU/e) and the Zhejiang university in China have now developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur. The work has been published in BMC Medical Informatics and Decision Making.