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Predictive Process Monitoring for Early Predictions of Short- and Long-Term Mortality for Patients with Acute Coronary Syndrome.

, , , and . PACIS, page 22. (2022)

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Discovering Break Behaviours in Process Mining: An Application to Discover Treatment Pathways in ICU of Patients with Acute Coronary Syndrome., , , and . ICPM Workshops, volume 468 of Lecture Notes in Business Information Processing, page 354-365. Springer, (2022)Predictive Process Monitoring for Early Predictions of Short- and Long-Term Mortality for Patients with Acute Coronary Syndrome., , , and . PACIS, page 22. (2022)A Data-Driven Framework to Test Validity of the Discovered Clinical Process Based on Selected Patient Outcomes., , , and . ACSW, page 248-251. ACM, (2023)A Novel Approach to Detect Redundant Activity Labels For More Representative Event Logs., , , and . CoRR, (2021)Outcome-Oriented Predictive Process Monitoring to Predict Unplanned ICU Readmission in MIMIC-IV Database., , , and . ECIS, (2022)Process Mining to Discover and Preserve Infrequent Relations in Event Logs: An Application to Understand the Laboratory Test Ordering Process Using the MIMIC-III Dataset., , , and . ACIS, page 30. (2021)A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining., , , and . Future Internet, 14 (6): 181 (2022)Combining structured and unstructured data in EMRs to create clinically-defined EMR-derived cohorts., , , , , , , , , and 1 other author(s). BMC Medical Informatics Decis. Mak., 21 (1): 91 (2021)