Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients

MLA

Arianna Dagliati, et al. “Temporal Data Mining and Process Mining Techniques to Identify Cardiovascular Risk-Associated Clinical Pathways in Type 2 Diabetes Patients.” IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), June 2014. EBSCOhost, https://doi.org/10.1109/bhi.2014.6864348.

APA

Arianna Dagliati, Luca Chiovato, Carlo Cerra, Pasquale De Cata, Riccardo Bellazzi, Paola Leporati, Lucia Sacchi, & John H. Holmes. (2014). Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). https://doi.org/10.1109/bhi.2014.6864348

Chicago

Arianna Dagliati, Luca Chiovato, Carlo Cerra, Pasquale De Cata, Riccardo Bellazzi, Paola Leporati, Lucia Sacchi, and John H. Holmes. 2014. “Temporal Data Mining and Process Mining Techniques to Identify Cardiovascular Risk-Associated Clinical Pathways in Type 2 Diabetes Patients.” IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), June. doi:10.1109/bhi.2014.6864348.