PreprintScientific Reports2016
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Riccardo Miotto, Li Li, Brian Kidd, et al.
Unsupervised deep feature learning with stacked denoising autoencoders on EHRs of ~700k patients yields a general-purpose patient representation that significantly improves predictive modeling for 78 diseases.
1.8kMay 17, 2016