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Disambiguation of "Chiovato, Luca"

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Improving risk-stratification of Diabetes complications using temporal data mining.

, , , , , and . EMBC, page 2131-2134. IEEE, (2015)

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Luca Remke University of Stuttgart

Luca Di Grazia University of Stuttgart

Philipp Luca Reiser University of Stuttgart

Dr. Simone Luca Portalupi University of Stuttgart

Gian-Luca Iglesias Lopez University of Stuttgart

 

Other publications of authors with the same name

What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project., , , , , , , , , and 11 other author(s). BMC Med. Inf. & Decision Making, 19 (1): 163:1-163:16 (2019)Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks., , , , , and . CBMS, page 106-111. IEEE Computer Society, (2018)A dashboard-based system for supporting diabetes care., , , , , , , , , and 5 other author(s). JAMIA, 25 (5): 538-547 (2018)Improving risk-stratification of Diabetes complications using temporal data mining., , , , , and . EMBC, page 2131-2134. IEEE, (2015)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)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)Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling., , , , , and . BIBM, page 1040-1044. IEEE Computer Society, (2018)Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective., , , , , , , , , and 2 other author(s). Front. Digital Humanities, (2018)Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients., , , , , , , and . BHI, page 240-243. IEEE, (2014)