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Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes.

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Darja Obradovic

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Editorial Message.. Big Data, 7 (4): 216-217 (2019)Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics., , и . BMC Bioinform., 14 (S-12): S5 (2013)MultiLayerET: A Unified Representation of Entities and Topics Using Multilayer Graphs., , , , , и . ECML/PKDD (2), том 13714 из Lecture Notes in Computer Science, стр. 671-687. Springer, (2022)Extraction of Interpretable Multivariate Patterns for Early Diagnostics., , и . ICDM, стр. 201-210. IEEE Computer Society, (2013)Predicting Sepsis Severity from Limited Temporal Observations., , и . Discovery Science, том 8777 из Lecture Notes in Computer Science, стр. 37-48. Springer, (2014)Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data., и . ICMLA (2), стр. 178-183. IEEE, (2012)978-1-4673-4651-1.The Protein Non-Folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder., , , , , , , , и . Pacific Symposium on Biocomputing, стр. 89-100. (2001)Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions., , , и . Pacific Symposium on Biocomputing, стр. 216-227. (2003)Dynamic distributed predictive learning models that preserve privacy for hospitals with insufficient labeled data., и . Netw. Model. Anal. Health Informatics Bioinform., 2 (4): 245-255 (2013)Reinventing Biostatistics Education for Basic Scientists, , , , , , и . PLOS Biology, 14 (4): e1002430 (апреля 2016)Formació; Recerca bàsica; Estudi petit.