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Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data.

, , , , , , , и . MedInfo, том 216 из Studies in Health Technology and Informatics, стр. 682-686. IOS Press, (2015)

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Stefan Sacchi

Annie Luciani

Fabio Luciani

Etienne Luciani

Andrea Luciani

 

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Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use., , , , и . AIME, том 5651 из Lecture Notes in Computer Science, стр. 16-25. (2009)An Algorithm for Estimating Gait Parameters Through a Commercial Sensorized Carpet., , , , , и . RTSI, стр. 1-6. IEEE, (2018)Predictive data mining in clinical medicine: a focus on selected methods and applications., , и . WIREs Data Mining Knowl. Discov., 1 (5): 416-430 (2011)Clustering gene expression data with Temporal Abstractions., , , , , , и . MedInfo, том 107 из Studies in Health Technology and Informatics, стр. 798-802. IOS Press, (2004)Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series., , , , , и . BHI, стр. 785-788. IEEE, (2014)Enhancing Guideline-Based Decision Support with Distributed Computation Through Local Mobile Application., , , , , , , , , и 1 other автор(ы). Business Process Management Workshops, том 202 из Lecture Notes in Business Information Processing, стр. 53-58. Springer, (2014)Temporal Data Mining for the Assessment of the Costs Related to Diabetes Mellitus Pharmacological Treatment., , , , , и . AMIA, AMIA, (2009)Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data., , , , , , и . AMIA, AMIA, (2005)Mining Administrative and Clinical Diabetes Data with Temporal Association Rules., , , и . MIE, том 150 из Studies in Health Technology and Informatics, стр. 574-578. IOS Press, (2009)Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks., , , , , и . CBMS, стр. 106-111. IEEE Computer Society, (2018)