Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records
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DOI: 10.1016/j.jbi.2019.103291
Abstract: Electronic medical records (EMRs) support the development of machine learning algorithms for predicting disease incidence, patient response to treatment, and other healthcare events. But so far most algorithms have been centralized, taking little account of… read more here.
Keywords: machine; federated machine; machine learning; patient clustering ... See more keywords