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

, , , , , , , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 682-686. IOS Press, (2015)

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Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks., , , , , and . CBMS, page 106-111. IEEE Computer Society, (2018)Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling., , , , , and . BIBM, page 1040-1044. IEEE Computer Society, (2018)Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data., , , , , , , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 682-686. IOS Press, (2015)Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables., , , , and . CBMS, page 205-206. IEEE Computer Society, (2017)Improving risk-stratification of Diabetes complications using temporal data mining., , , , , and . EMBC, page 2131-2134. IEEE, (2015)A dashboard-based system for supporting diabetes care., , , , , , , , , and 5 other author(s). J. Am. Medical Informatics Assoc., 25 (5): 538-547 (2018)Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules., , , , , and . Comput. Intell., 37 (4): 1460-1498 (2021)Clustering Cardiovascular Risk Trajectories of Patients with Type 2 Diabetes Using Process Mining., , , , , , , and . EMBC, page 341-344. IEEE, (2019)Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data., , , , , , , , , and 31 other author(s). J. Am. Medical Informatics Assoc., 28 (7): 1411-1420 (2021)Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective., , , , , , , , , and 2 other author(s). Frontiers Digit. Humanit., (2018)